浙江大学 | 药学院 | English Version
     
     
发表的文章与开展的学术交流

发表的论文 (*corresponding author; published cover article; PDF version of paper; &co-first author)


累计发表 SCI 论文：170余篇； Web of Science 引用：12,000余次；Web of Science H 因子：60


 2024 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. L. Y. Zheng, S. Y. Shi, M. K. Lu, P. Fang, Z. Q. Pan, H. N. Zhang, Z. M. Zhou, H. Y. Zhang, M. J. Mou, S. J. Huang, L. Tao, W. Q. Xia, H. L. Li, Z. Y. Zeng, S. Zhang, Y. Z. Chen, Z. R. Li*, F. Zhu*. AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding. Genome Biology (当年影响因子: 12.3, 生物一区 TOP 期刊). 25(1): 41 (2024). PMID: 38303023.

  2. Y. Zhou, Y. T. Zhang, D. H. Zhao, X. Y. Yu, X. Y. Shen, Y. Zhou, S. S. Wang, Y. Q. Qiu, Y. Z. Chen*, F. Zhu*. TTD: therapeutic target database describing target druggability information. Nucleic Acids Research (当年影响因子: 14.9, 生物二区 TOP 期刊). 52(D1): 1465-1477 (2024). PMID: 37713619.

  3. L. T. Shen, X. N. Sun, Z. Chen, Y. Guo, Z. Y. Shen, Y. Song, W. X. Xin, H. Y. Ding, X. Y. Ma, W. B. Xu, W. Y. Zhou, J. X. Che, L. L. Tan, L. S. Chen, S. Q. Chen, X. W. Dong*, L. Fang*, F. Zhu*. ADCdb: the database of antibody-drug conjugates. Nucleic Acids Research (当年影响因子 : 19.2, 生物二区 TOP 期刊). 52(D1): 1097-1109 (2024). PMID: 37831118.

  4. Y. T. Zhang, Y. Zhou, Y. Zhou, X. Y. Yu, X. Y. Shen, Y. F. Hong, Y. X. Zhang, S. S. Wang, M. J. Mou, J. S. Zhang, L. Tao, J. Q. Gao, Y. Q. Qiu*, Y. Z. Chen*, F. Zhu*. TheMarker: a comprehensive database of therapeutic biomarkers. Nucleic Acids Research (当年影响因子: 14.9, 生物二区 TOP 期刊). 52(D1): 1450-1464 (2024). PMID: 37850638.

    5. 封面论文 :
  5. X. C. Lian, Y. T. Zhang, Y. Zhou, X. N. Sun, S. J. Huang, H. B. Dai*, L. Y. Han*, F. Zhu*. SingPro: a knowledge base providing single-cell proteomic data. Nucleic Acids Research (当年影响因子: 14.9, 生物二区 TOP 期刊). 52(D1): 552-561 (2024). PMID: 37819028.

  6. J. Y. Yin, Z. Chen, N. X. You, F. C. Li, H. Y. Zhang, J. Xue, H. Ma, Q. W. Zhao, L. S. Yu*, S. Zeng*, F. Zhu*. VARIDT 3.0: the phenotypic and regulatory variability of drug transporter. Nucleic Acids Research (当年影响因子: 14.9, 生物二区 TOP 期刊). 52(D1): 1490-1502 (2024). PMID: 37819041.

  7. Y. Zhang, X. G. Liu, F. C. Li, J. Y. Yin, H. Yang, X. D. Li, X. Y. Liu, X. Chai, T. L. Niu, S. Zeng*, Q. Z. Jia*, F. Zhu*. INTEDE 2.0: the metabolic roadmap of drugs. Nucleic Acids Research (当年影响因子 : 19.2, 生物二区 TOP 期刊). 52(D1): 1355-1364 (2024). PMID: 37930837.

  8. Y. Zhang, H. C. Sun, W. Zhang, T. T. Fu, S. J. Huang, M. J. Mou, J. S. Zhang, J. Q. Gao, Y. C. Ge*, Q. X. Yang*, F. Zhu*. CellSTAR: a comprehensive resource for single-cell transcriptomic annotation. Nucleic Acids Research (当年影响因子 : 19.2, 生物二区 TOP 期刊). 52(D1): 859-870 (2024). PMID: 37855686.

  9. L. Y. Zheng, S. Y. Shi, X. N. Sun, M. K. Lu, Y. Liao, S. S. Zhu, H. N. Zhang, Z. Q. Pan, P. Fang, Z. Y. Zeng, H. L. Li, Z. R. Li*, W. W. Xue*, F. Zhu*. MoDAFold: a strategy for predicting the structure of missense mutant protein based on AlphaFold2 and molecular dynamics. Briefings in Bioinformatics (当年影响因子: 9.5, 生物二区 TOP 期刊). 25(2): bbae006 (2024). PMID: 38305456.

  10. Y. F. Hong, H. Q. Xu, Y. H. Liu, S. S. Zhu, C. Tian, G. X. Chen, F. Zhu*, L. Tao*. DDID: a comprehensive resource for visualization and analysis of diet-drug interactions. Briefings in Bioinformatics (当年影响因子: 9.5, 生物二区 TOP 期刊). accepted: BIB-24-0239 (2024). PMID: XXXXXXXX.

  11. H. Q. Xu, H. Xiao, J. H. Bu, Y. F. Hong, Y. H. Liu, Z. Y. Tao, S. F. Ding, Y. T. Xia, E. Wu, Z. Yan, W. Zhang, G. X. Chen, F. Zhu*, L. Tao*. EMNPD: a comprehensive endophytic microorganism natural products database for prompt the discovery of new bioactive substances. Journal of Cheminformatics (当年影响因子: 8.6, 化学二区期刊). 15(1): 115 (2024). PMID: 38017550.

  12. J. Y. Yin, H. Y. Zhang, X. N. Sun, N. X. You, M. J. Mou, M. K. Lu, Z. Q. Pan, F. C. Li, H. L. Li*, S. Zeng*, F. Zhu*. Decoding drug response with structurized gridding map-based cell representation. IEEE Journal of Biomedical and Health Informatics (当年影响因子: 7.7, 工程技术一区 TOP 期刊). doi: 10.1109/JBHI.2023.3342280 (2024). PMID: 38090819.

  13. K. Amahong, W. Zhang, Y. H. Liu, T. Li, S. J. Huang, L. Y. Han*, L. Tao*, F. Zhu*. RVvictor: virus RNA-directed molecular interactions for RNA virus infection. Computers in Biology and Medicine (当年影响因子: 7.7, 工程技术二区期刊). 169: 107886 (2024). PMID: 38157777.

  14. Q. X. Yang, S. M. Chen, W. Y. Jiang, L. Mi, J. R. Liu, Y. Hu, X. L. Ji*, J. Wang*, F. Zhu*. MultiClassMetabo: superior classification model constructed using metabolic markers in multiclass metabolomics. Analytical Chemistry (当年影响因子: 7.4, 化学一区 TOP 期刊). 96(4): 1410-1418 (2024). PMID: 38221713.

  15. J. Tang, M. J. Mou, X. Zheng, J. Yan, Z. Q. Pan, J. S. Zhang, B. Li, Q. X. Yang, Y. X. Wang, Y. Zhang, J. Q. Gao, S. Li*, H. Yang*, F. Zhu*. Strategy for identifying a robust metabolomic signature reveals the altered lipid metabolism in pituitary adenoma. Analytical Chemistry (当年影响因子: 7.4, 化学一区 TOP 期刊). 96(12): 4745-4755 (2024). PMID: 38417094.

    16. 封面论文 :
  16. C. F. Xu, J. T. Huang, Y. Q. Gao, W. X. Zhao, Y. Q. Shen, F. H. Luo, G. Yu, F. Zhu*, Y. Ni*. OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases. Bioinformatics (当年影响因子: 6.9, 生物二区 TOP 期刊). 39(12): btad715 (2023). PMID: 38078817.

  17. W. Zhang, M. J. Mou, W. Hu, M. K. Lu, H. Y. Zhang, H. N. Zhang, Y. C. Luo, H. Q. Xu, L. Tao, H. B. Dai, J. Q. Gao*, F. Zhu*. MOINER: a novel multi-omics early integration framework for biomedical classification and biomarker discovery. Journal of Chemical Information and Modeling (当年影响因子: 5.6, 化学二区 TOP 期刊). 64(7): 2720-2732 (2024). PMID: 38373720.

  18. K. M. Merz*, G. W. Wei*, F. Zhu*. Editorial machine learning in bio-cheminformatics. Journal of Chemical Information and Modeling (当年影响因子: 5.6, 化学二区 TOP 期刊). 64(7): 2125-2128 (2024). PMID: 38587006.

  19. H. Li, H. Seada, S. Madnick, H. Zhao, Z. Z. Chen, F. C. Li, F. Zhu, S. Hall, K. Boekelheide*. Machine learning-assisted high-content imaging analysis of 3D MCF7 microtissues for estrogenic effect prediction. Scientific Reports (当年影响因子: 4.6, 综合性二区期刊). 14(1): 2999 (2024). PMID: 38316851.

 2023 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. Y. X. Wang, Z. Q. Pan, M. J. Mou, W. Q. Xia, H. N. Zhang, H. Y. Zhang, J. Liu, L. Y. Zheng, Y. C. Luo, H. Q. Zheng, X. Y. Yu, X. C. Lian, Z. Y. Zeng, Z. R. Li, B. Zhang, M. Y. Zheng, H. L. Li, T. J. Hou, F. Zhu*. A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder. Nucleic Acids Research (当年影响因子: 19.2, 生物二区 TOP 期刊). 51(21): e110 (2023). PMID: 37889083.

  2. M. J. Mou, Z. Q. Pan, Z. M. Zhou, L. Y. Zheng, H. Y. Zhang, S. Y. Shi, F. C. Li, X. N. Sun, F. Zhu*. A transformer-based ensemble framework for the prediction of protein-protein interaction sites. Research (当年影响因子: 11.0, 综合一区 TOP 期刊). 6: 0240 (2023). PMID: 37771850.
    3. 科技媒体及新闻报道 :

  3. Y. Zhang, H. C. Sun, X. C. Lian, J. Tang, F. Zhu*. ANPELA: significantly enhanced quantification tool for cytometry-based single-cell proteomics. Advanced Science (当年影响因子: 17.5, 工程技术一区 TOP 期刊). 10(15): e2207061 (2023). PMID: 36950745.
    4. 封面论文 :

  4. M. K. Lu, J. Y. Yin, Q. Zhu, G. L. Lin, M. J. Mou, F. Y. Liu, Z. Q. Pan, N. X. You, X. C. Lian, F. C. Li, H. N. Zhang, L. Y. Zheng, W. Zhang, H. Y. Zhang, Z. H. Shen, Z. Gu, H. L. Li*, F. Zhu*. Artificial intelligence in pharmaceutical sciences. Engineering (当年影响因子: 12.8, 工程技术一区 TOP 期刊). 27: 37-69 (2023). PMID: N.A.

  5. Y. X. Wang, Z. Chen, Z. Q. Pan, S. J. Huang, J. Liu, W. Q. Xia, H. N. Zhang, M. Y. Zheng, H. L. Li, T. J. Hou, F. Zhu*. RNAincoder: a deep learning-based encoder for RNA and RNA-associated interaction. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 51(W1): 509-519 (2023). PMID: 37166951.

  6. F. C. Li, J. Y. Yin, M. K. Lu, M. J. Mou, Z. R. Li, Z. Y. Zeng, Y. Tan, S. S. Wang, X. Y. Chu, H. B. Dai, T. J. Hou, S. Zeng*, Y. Z. Chen*, F. Zhu*. DrugMAP: molecular atlas and pharma-information of all drugs. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 51(D1): 1288-1299 (2023). PMID: 36243961.
    7. 封面论文 : 科技媒体及新闻报道 :

  7. K. Amahong, W. Zhang, Y. Zhou, S. Zhang, J. Y. Yin, F. C. Li, H. Q. Xu, T. C, Yan, Z. X. Yue, Y. H. Liu, T. J. Hou, Y. Q. Qiu, L. Tao*, L. Y. Han*, F. Zhu*. CovInter: interaction data between coronavirus RNAs and host proteins. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 51(D1): 546-556 (2023). PMID: 36200814.
    8. 科技媒体及新闻报道 :

  8. X. N. Sun, Y. T. Zhang, H. Y. Li, Y. Zhou, S. Y. Shi, Z. Chen, X. He, H. Y. Zhang, F. C. Li, J. Y. Yin, M. J. Mou, Y. Z. Wang, Y. Q. Qiu, F. Zhu*. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 51(D1): 1263-1275 (2023). PMID: 36243960.
    9. 科技媒体及新闻报道 :

  9. S. P. Liu, L. Chen, Y. T. Zhang, Y. Zhou, Y. He, Z. Chen, S. S. Qi, J. Y. Zhu, X. D. Chen, H. Zhang, Y. C. Luo, Y. Q. Qiu, L. Tao*, F. Zhu*. M6AREG: m6A-centered regulation of disease development and drug response. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 51(D1): 1333-1344 (2023). PMID: 36134713.
    10. 科技媒体及新闻报道 :

  10. J. B. Fu, Q. X. Yang, Y. C. Luo, S. Zhang, J. Tang, Y. Zhang, H. N. Zhang, H. X. Xu, F. Zhu*. Label-free proteome quantification and evaluation. Briefings in Bioinformatics (当年影响因子: 13.9, 生物二区 TOP 期刊). 24(1): bbac477 (2023). PMID: 36403090.

  11. H. N. Zhang, M. K. Lu, G. L. Lin, L. Y. Zheng, W. Zhang, Z. J. Xu, F. Zhu*. SoCube: an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data. Briefings in Bioinformatics (当年影响因子: 13.9, 生物二区 TOP 期刊). 24(3): bbad104 (2023). PMID: 36941114.

  12. Y. C. Luo, P. P. Wang, M. J. Mou, H. Q. Zheng, J. J. Hong, L. Tao, F. Zhu*. A novel strategy for designing the magic shotguns for distantly related target pairs. Briefings in Bioinformatics (当年影响因子: 13.9, 生物二区 TOP 期刊). 24(1): bbac621 (2023). PMID: 36631399.

  13. Q. X. Yang*, Y. G. Gong, F. Zhu*. Critical assessment of the biomarker discovery and classification methods for multiclass metabolomics. Analytical Chemistry (当年影响因子: 8.0, 化学一区 TOP 期刊). 95(13): 5542-5552 (2023). PMID: 36944135.

  14. W. Hu, T. T. Jin, Z. Q. Pan, H. M. Xu, L. Y. Yu, T. T. Chen, W. Zhang, H. F. Jiang, W. J. Yang, J. J. Xu, F. Zhu*, H. B. Dai*. An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in intensive care unit: development and external validation of ICU-ISPM. Computers in Biology and Medicine (当年影响因子: 7.7, 工程技术二区期刊). 166: 107577 (2023). PMID: 37852108.

  15. S. Zhang, K. Amahong, Y. T. Zhang, X. P. Hu, S. J. Huang, M. K. Lu, Z. Y. Zeng, Z. R. Li, B. Zhang, Y. Q. Qiu, H. B. Dai, J. Q. Gao, F. Zhu*. RNAenrich: a web server for non-coding RNA enrichment. Bioinformatics (当年影响因子: 6.9, 生物二区 TOP 期刊). 39(7): btad421 (2023). PMID: 37399102.

  16. K. M. Merz, G. W. Wei, F. Zhu*. Editorial harnessing the power of large language model-based chatbots for scientific discovery. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 63(17): 5395 (2023). PMID: 37691490.

  17. W. Hu, W. Zhang, Y. Zhou, Y. C. Luo, X. N. Sun, H. M. Xu, S. Y. Shi, T. Li, Y. C. Xu, Q. Q. Yang, Y. Q. Qiu, F. Zhu*, H. B. Dai*. MecDDI: clarified drug-drug interaction mechanism facilitating rational drug use and potential drug-drug interaction prediction. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 63(5): 1626-1636 (2023). PMID: 36802582.

  18. H. Q. Xu, W. Zhang, Y. Zhou, Z. X. Yue, T. C. Yan, Y. Y. Zhang, Y. H. Liu, Y. F. Hong, S. P. Liu*, F. Zhu*, L. Tao*. Systematic description of the content variation of natural products (NPs): to prompt the yield of high-value NPs and the discovery of new therapeutics. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 63(5): 1615-1625 (2023). PMID: 36795011.

  19. K. M. Merz, G. W. Wei, F. Zhu*. Editorial machine learning in bio-cheminformatics. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 63(1): 1 (2023). PMID: 36617996.

  20. Y. Zhou, Y. T. Zhang, F. C. Li, X. C. Lian, Q. Zhu, F. Zhu*, Y. Q. Qiu*. SISPRO: signature identification for spatial proteomics. Journal of Molecular Biology (当年影响因子: 6.2, 生物二区 TOP 期刊). 435(14): 167944 (2023). PMID: 37356911.

  21. T. T. Fu, S. Zeng, Q. C. Zheng*, F. Zhu*. The important role of transporter structures in drug disposition, efficacy, and toxicity. Drug Metabolism and Disposition (当年影响因子: 3.9, 医学二区期刊). 51(10): 1316-1323 (2023). PMID: 37295948.

  22. J. Y. Yin, N. X. You, F. C. Li, M. K. Lu, S. Zeng*, F. Zhu*. State-of-the-art application of artificial intelligence to transporter-centered functional and pharmaceutical research. Current Drug Metabolism (当年影响因子: 3.4, 医学三区期刊). 24(3): 162-174 (2023). PMID: 37226790.

  23. J. B. Fu, F. Zhu, C. J. Xu, Y. Li*. Metabolomics meets systems immunology. EMBO Reports (当年影响因子: 9.0, 生物二区期刊). 24(4): e55747 (2023). PMID: 36916532.

  24. Q. Ye, R. L. Xu, D. Li, Y. Kang, Y. F. Deng, F. Zhu, J. M. Chen*, S. B. He, C. Y. Hsieh*, T. J. Hou*. Integrating multi-modal deep learning on knowledge graph for the discovery of synergistic drug combinations against infectious diseases. Cell Reports Physical Science (当年影响因子: 8.9, 综合二区期刊). 4(8): 101520 (2023). PMID: N.A.

  25. S. Z. Deng, H. W. Zhang*, R. P. Gou, D. Luo, Z. R. Liu, F. Zhu, W. W. Xue*. Structure-based discovery of a novel allosteric inhibitor against human dopamine transporter. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 63(14): 4458-4467 (2023). PMID: 37410882.

  26. L. D. Wang, X. Liang, H. Chen, L. J. Cao, L. Liu, F. Zhu, Y. B. Ding*, J. Tang*, Y. L. Xie*. CDEMI: characterizing differences in microbial composition and function in microbiome data. Computational and Structural Biotechnology Journal (当年影响因子: 6.2, 生物二区期刊). 21: 2502-2513 (2023). PMID: 37090432.

 2022 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. J. B. Fu, Y. Zhang, Y. X. Wang, H. N. Zhang, J. Liu, J. Tang, Q. X. Yang, H. C. Sun, W. Q. Qiu, Y. H. Ma, Z. R. Li, M. Y. Zheng, F. Zhu*. Optimization of metabolomic data processing using NOREVA. Nature Protocols (当年影响因子: 17.0, 生物一区 TOP 期刊). 17(1): 129-151 (2022). PMID: 34952956.
    2. 杂志精选论文 : ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.26% in 2023.
    科技媒体及新闻报道 :

  2. T. T. Fu, F. C. Li, Y. Zhang, J. Y. Yin, W. Q. Qiu, X. D. Li, X. G. Liu, W. W. Xin, C. Z. Wang, L. S. Yu, J. Q. Gao, Q. C. Zheng*, S. Zeng*, F. Zhu*. VARIDT 2.0: structural variability of drug transporter. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 50(D1): 1417-1431 (2022). PMID: 34747471.
    3. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 1.48% in 2023.
    科技媒体及新闻报道 :

  3. X. N. Wang, F. C. Li, W. Q. Qiu, B. B. Xu, Y. L. Li, X. C. Lian, H. Y. Yu, Z. Zhang, J. X. Wang, Z. R. Li, W. W. Xue*, F. Zhu*. SYNBIP: synthetic binding proteins for research, diagnosis and therapy. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 50(D1): 560-570 (2022). PMID: 34664670.
    4. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.67% in 2023.
    科技媒体及新闻报道 :

  4. Y. Zhou, Y. T. Zhang, X. C. Lian, F. C. Li, C. X. Wang, F. Zhu*, Y. Q. Qiu*, Y. Z. Chen*. Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 50(D1): 1398-1407 (2022). PMID: 34718717.
    5. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.35% in 2023.
    科技媒体及新闻报道 :

  5. X. N. Sun, Y. T. Zhang, Y. Zhou, X. C. Lian, L. L. Yan, T. Pan, T. Jin, H. Xie, Z. M. Liang, W. Q. Qiu, J. X. Wang, Z. R. Li, F. Zhu*, X. B. Sui*. NPCDR: natural product-based drug combination and its disease-specific molecular regulation. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 50(D1): 1324-1333 (2022). PMID: 34664659.

  6. Q. X. Yang, B. Li, P. P. Wang, J. C. Xie, Y. H. Feng, Z. Q. Liu, F. Zhu*. LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(6): bbac455 (2022). PMID: 36274234.

  7. H. Y. Zhang, Y. X. Wang, Z. Q. Pan, X. N. Sun, M. J. Mou, B. Zhang, Z. R. Li, H. L. Li*, F. Zhu*. ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(6): bbac411 (2022). PMID: 36198065.

  8. S. Zhang, K. Amahong, C. Y. Zhang, F. C. Li, J. Q. Gao, Y. Q. Qiu*, F. Zhu*. RNA-RNA interactions between SARS-CoV-2 and host benefit viral development and evolution during COVID-19 infection. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(1): bbab397 (2022). PMID: 34585235.
    9. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.12% in 2023.

  9. F. C. Li, Y. Zhou, Y. Zhang, J. Y. Yin, Y. Q. Qiu, J. Q. Gao, F. Zhu*. POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(2): bbac040 (2022). PMID: 35183059.
    10. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.06% in 2023.

  10. F. C. Li, J. Y. Yin, M. K. Lu, Q. X. Yang, Z. Y. Zeng, B. Zhang, Z. R. Li, Y. Q. Qiu, H. B. Dai, Y. Z. Chen*, F. Zhu*. ConSIG: consistent discovery of molecular signature from OMIC data. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(4): bbac253 (2022). PMID: 35758241.

  11. C. Y. Zhang, M. J. Mou, Y. Zhou, W. Zhang, X. C. Lian, S. Y. Shi, M. K. Lu, H. C. Sun, F. C. Li, Y. X. Wang, Z. Y. Zeng, Z. R. Li, B. Zhang, Y. Q. Qiu, F. Zhu*, J. Q. Gao*. Biological activities of drug inactive ingredients (DIGs). Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(5): bbac160 (2022). PMID: 35524477.

  12. S. Zhang, X. N. Sun, M. J. Mou, K. Amahong, H. C. Sun, W. Zhang, S. Y. Shi, Z. R. Li, J. Q. Gao, F. Zhu*. REGLIV: molecular regulation data of diverse living systems facilitating current multiomics research. Computers in Biology and Medicine (当年影响因子: 7.7, 工程技术二区期刊). 148: 105825 (2022). PMID: 35872412.

  13. W. Q. Xia, L. Y. Zheng, J. B. Fang, F. C. Li, Y. Zhou, Z. Y. Zeng, B. Zhang, Z. R. Li, H. L. Li*, F. Zhu*. PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods. Computers in Biology and Medicine (当年影响因子: 7.7, 工程技术二区期刊). 145: 105465 (2022). PMID: 35366467.
    14. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.40% in 2023.

  14. M. J. Mou, Z. Q. Pan, M. K. Lu, H. C. Sun, Y. X. Wang, Y. C. Luo, F. Zhu*. Application of machine learning in spatial proteomics. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二 TOP 区期刊). 62(23): 5875-5895 (2022). PMID: 36378082.
    15. 封面论文 :

  15. L. D. Wang, W. Zhang, X. L. Wu, X. Liao, L. J. Cao, J. C. Zhai, Y. Y. Yang, Q. X. Chen, H. Q. Liu, J. Zhang, Y. B. Ding*, F. Zhu*, J. Tang*. MIAOME: human microbiome affect the host epigenome. Computational and Structural Biotechnology Journal (当年影响因子: 6.2, 生物二区期刊). 20: 2455-2463 (2022). PMID: 35664224.

  16. W. W. Xue, T. T. Fu, S. Z. Deng, F. Y. Yang, J. Y. Yang, F. Zhu*. Molecular mechanism for the allosteric inhibition of the human serotonin transporter by antidepressant escitalopram. ACS Chemical Neuroscience (当年影响因子: 5.8, 医学二区期刊). 13(3): 340-351 (2022). PMID: 35041375.
    17. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.05% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.09% in 2022.

  17. F. Y. Yang, J. Y. Yang, Z. Zhang, G. Tu, X. J. Yao, W. W. Xue*, F. Zhu*. Recent advances in computer-aided antiviral drug design targeting HIV-1 integrase and reverse transcriptase associated ribonuclease H. Current Medicinal Chemistry (当年影响因子: 4.7, 医学三区期刊). 29(10): 1664-1676 (2022). PMID: 34238145.

  18. J. Y. Yin, F. C. Li, Z. R. Li, L. S. Yu, F. Zhu*, S. Zeng*. Feature, function, and information of drug transporter related databases. Drug Metabolism and Disposition (当年影响因子: 3.9, 医学二区期刊). 50(1): 76-85 (2022). PMID: 34426411.
    19. 封面论文 :

  19. J. P. Pang, X. P. Hu, Y. X. Wang, J. N. Liao, X. Chai, X. W. Wang, C. Shen, J. J. Wang, L. L. Zhang, X. Y. Wang, F. Zhu, Q. J. Weng, L. Xu, T. J. Hou, D. Li*. Discovery of a novel nonsteroidal selective glucocorticoid receptor modulator by virtual screening and bioassays. Acta Pharmacologica Sinica (当年影响因子: 8.2, 医学一区 TOP 期刊). 43(9): 2429-2438 (2022). PMID: 35110698.

  20. J. P. Pang, C. Shen, W. F. Zhou, Y. X. Wang, L. H. Shan, X. Chai, Y. Shao, X. P. Hu, F. Zhu, D. Y. Zou, L. Xiao, L. Xu, X. H. Xu, D. Li*, T. J. Hou*. Discovery of novel antagonists targeting the DNA binding domain of androgen receptor by integrated docking-based virtual screening and bioassays. Acta Pharmacologica Sinica (当年影响因子: 8.2, 医学一区 TOP 期刊). 43(1): 229-239 (2022). PMID: 33767381.

  21. H. C. Zhao, S. K. Wang, K. Zheng, Q. C. Zhao, F. Zhu, J. X. Wang*. A similarity-based deep learning approach for determining the frequencies of drug side effects. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 23(1): bbab449 (2022). PMID: 34718402.

  22. G. W. Wei, F. Zhu, K. M. Merz*. Editorial on machine learning. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 62(17): 3941 (2022). PMID: 36044023.

  23. T. Soares, H. Wahab, F. Zhu, G. W. Wei*. Editorial computational chemistry in Asia. Journal of Chemical Information and Modeling (当年影响因子: 6.2, 化学二区 TOP 期刊). 62(21): 5035-5037 (2022). PMID: 36373284.

  24. Y. H. Wang, J. C. Zhai, X. L. Wu, E. A. Adu-Gyamfi, L. P. Yang, T. H. Liu, M. J. Wang, Y. B. Ding, F. Zhu, Y. X. Wang*, J. Tang*. LncRNA functional annotation with improved false discovery rate achieved by disease associations. Computational and Structural Biotechnology Journal (当年影响因子: 6.2, 生物二区期刊). 20: 322-332 (2022). PMID: 35035785.


 2021 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. J. Y. Yin, F. C. Li, Y. Zhou, M. J. Mou, Y. J. Lu, K. L. Chen, J. Xue, Y. C. Luo, J. B. Fu, X. He, J. Q. Gao, S. Zeng*, L. S. Yu*, F. Zhu*. INTEDE: interactome of drug-metabolizing enzymes. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 49(D1): 1233-1243 (2021). PMID: 33045737.
    2. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 1.01% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.12% in 2022.
    科技媒体及新闻报道 :

  2. J. Tang, X. L. Wu, M. J. Mou, C. Wang, L. D. Wang, F. C. Li, M. Y. Guo, J. Y. Yin, W. Q. Xie, X. N. Wang, Y. X. Wang, Y. B. Ding*, W. W. Xue*, F. Zhu*. GIMICA: host genetic and immune factors shaping human microbiota. Nucleic Acids Research (当年影响因子: 19.2, 生物一区 TOP 期刊). 49(D1): 715-722 (2021). PMID: 33045729.
    3. 科技媒体及新闻报道 :

  3. S. Zhang, K. Amahong, X. N. Sun, X. C. Lian, J. Liu, H. C. Sun, Y. Lou, F. Zhu*, Y. Q. Qiu*. The miRNA: a small but powerful RNA for COVID-19. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 22(2): 1137-1149 (2021). PMID: 33675361.
    4. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.40% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.79% in 2022.

  4. S. Zhang, Y. Zhou, Y. N. Wang, Z. W. Wang, Q. T. Xiao, Y. Zhang, Y. Lou, Y. Q. Qiu*, F. Zhu*. The mechanistic, diagnostic and therapeutic novel nucleic acids for hepatocellular carcinoma emerging in past score years. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 22(2): 1860-1883 (2021). PMID: 32249290.

  5. J. B. Fu, Y. Zhang, J. Liu, X. C. Lian, J. Tang, F. Zhu*. Pharmacometabonomics: data processing and statistical analysis. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 22(5): bbab138 (2021). PMID: 33866355.

  6. J. Tang, M. J. Mou, Y. X. Wang, Y. C. Luo, F. Zhu*. MetaFS: performance assessment of biomarker discovery in metaproteomics. Briefings in Bioinformatics (当年影响因子: 13.9, 生物一区 TOP 期刊). 22(3): bbaa105 (2021). PMID: 32510556.
    7. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.92% in 2023.

  7. S. Zhang, F. Zhu*. Comment on microRNA mimics or inhibitors as antiviral therapeutic approaches against COVID-19. Drugs (当年影响因子: 11.4, 医学二区 TOP 期刊). 81(14): 1691-1692 (2021). PMID: 34453690.

  8. J. Y. Yin, X. X. Li, F. C. Li, Y. J. Lu, S. Zeng*, F. Zhu*. Identification of the key target profiles underlying the drugs of narrow therapeutic index for treating cancer and cardiovascular disease. Computational and Structural Biotechnology Journal (当年影响因子: 7.3, 生物二区期刊). 19: 2318-2328 (2021). PMID: 33995923.

  9. T. T. Fu, G. Tu, M. Ping, G. X. Zheng, F. Y. Yang, J. Y. Yang, Y. Zhang, X. J. Yao, W. W. Xue*, F. Zhu*. Subtype selective mechanisms of negative allosteric modulators binding to group I metabotropic glutamate receptors. Acta Pharmacologica Sinica (当年影响因子: 6.2, 医学一区 TOP 期刊). 42(8): 1354-1367 (2021). PMID: 33122823.

  10. G. Tu, T. T. Fu, F. Y. Yang, J. Y. Yang, Z. Zhang, X. J. Yao, W. W. Xue*, F. Zhu*. Understanding the polypharmacological profiles of triple reuptake inhibitors by molecular simulation. ACS Chemical Neuroscience (当年影响因子: 4.4, 医学二区期刊). 12(11): 2013-2026 (2021). PMID: 33977725.

  11. Q. X. Yang, B. Li, S. J. Chen, J. Tang, Y. H. Li, Y. Li, S. Zhang, C. Shi, Y. Zhang, M. J. Mou, W. W. Xue*, F. Zhu*. MMEASE: online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis. Journal of Proteomics (当年影响因子: 4.0, 生物二区期刊). 232: 104023 (2021). PMID: 33130111.
    12. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.69% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 2.51% in 2022.

  12. J. Y. Yang, Z. Zhang, F. Y. Yang, J. Tang, H. W. Zhang, H. B. Wu, F. Zhu*, W. W. Xue*. Computational design and modeling of nanobodies toward SARS-CoV-2 receptor binding domain. Chemical Biology & Drug Design (当年影响因子: 2.5, 医学三区期刊). 98(1): 1-18 (2021). PMID: 33894099.
    13. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 1.93% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 2.72% in 2022.

  13. W. X. Shen, X. Zeng, F. Zhu, Y. L. Wang, C. Qin, Y. Tan, Y. Y. Jiang*, Y. Z. Chen*. Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations. Nature Machine Intelligence (当年影响因子: 15.5, 综合一区 TOP 期刊). 3: 334-343 (2021). PMID: N.A.

  14. S. Y. Chen, S. Y. Yang, X. Zeng, F. Zhu, Y. Tan, Y. Y. Jiang*, Y. Z. Chen*. Combining kinase inhibitors for optimally co-targeting cancer and drug escape by exploitation of drug target promiscuities. Drug Development Research (当年影响因子: 4.4, 医学四区期刊). 82(1): 133-142 (2021). PMID: 32931039.


 2020 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. Q. X. Yang, Y. X. Wang, Y. Zhang, F. C. Li, W. Q. Xia, Y. Zhou, Y. Q. Qiu, H. L. Li, F. Zhu*. NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data. Nucleic Acids Research (当年影响因子: 16.9, 生物一区 TOP 期刊). 48(W1): 436-448 (2020). PMID: 32324219.
    2. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.87% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.60% in 2022.
    科技媒体及新闻报道 :

  2. Y. X. Wang, S. Zhang, F. C. Li, Y. Zhou, Y. Zhang, Z. W. Wang, R. Y. Zhang, J. Zhu, Y. X. Ren, Y. Tan, C. Qin, Y. H. Li, X. X. Li, Y. Z. Chen*, F. Zhu*. Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics. Nucleic Acids Research (当年影响因子: 16.9, 生物一区 TOP 期刊). 48(D1): 1031-1041 (2020). PMID: 31691823.
    3. 中国百篇最具影响国际学术论文 : ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.12% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.13% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.15% in 2021.
    科技媒体及新闻报道 :

  3. J. Y. Yin, W. Sun, F. C. Li, J. J. Hong, X. X. Li, Y. Zhou, Y. J. Lu, M. Z. Liu, X. Zhang, N. Chen, X. P. Jin, J. Xue, S. Zeng*, L. S. Yu*, F. Zhu*. VARIDT 1.0: variability of drug transporter database. Nucleic Acids Research (当年影响因子: 16.9, 生物一区 TOP 期刊). 48(D1): 1042-1050 (2020). PMID: 31495872.
    4. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.81% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.96% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.33% in 2021.
    科技媒体及新闻报道 :

  4. Y. H. Li, X. X. Li, J. J. Hong, Y. X. Wang, J. B. Fu, H. Yang, C. Y. Yu, F. C. Li, J. Hu, W. W. Xue, Y. Y. Jiang, Y. Z. Chen*, F. Zhu*. Clinical trials, progression-speed differentiating features, and swiftness rule of the innovative targets of first-in-class drugs. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(2): 649-662 (2020). PMID: 30689717.
    5. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.36% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.49% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.09% in 2021.

  5. J. Tang, J. B. Fu, Y. X. Wang, B. Li, Y. H. Li, Q. X. Yang, X. J. Cui, J. J. Hong, X. F. Li, Y. Z. Chen, W. W. Xue, F. Zhu*. ANPELA: analysis and performance-assessment of the label-free quantification workflow for metaproteomic studies. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(2): 621-636 (2020). PMID: 30649171.
    6. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.30% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.20% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.05% in 2021.

  6. Q. X. Yang, B. Li, J. Tang, X. J. Cui, Y. X. Wang, X. F. Li, J. Hu, Y. Z. Chen, W. W. Xue, Y. Lou, Y. Q. Qiu*, F. Zhu*. Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(3): 1058-1068 (2020). PMID: 31157371.
    7. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.29% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.56% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.19% in 2021.

  7. Z. J. Han, W. W. Xue, L. Tao, Y. Lou, Y. Q. Qiu*, F. Zhu*. Genome-wide identification and analysis of the eQTL lncRNAs in multiple sclerosis based on RNA-seq data. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(3): 1023-1037 (2020). PMID: 31323688.
    8. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.22% in 2022.

  8. Q. X. Yang, J. J. Hong, Y. Li, W. W. Xue, S. Li*, H. Yang*, F. Zhu*. A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(6): 2142-2152 (2020). PMID: 31776543.
    9. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.30% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 2.69% in 2022.

  9. J. Tang, Y. X. Wang, J. B. Fu, Y. Zhou, Y. C. Luo, Y. Zhang, B. Li, Q. X. Yang, W. W. Xue, Y. Lou, Y. Q. Qiu*, F. Zhu*. A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomic studies. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(4): 1378-1390 (2020). PMID: 31197323.

  10. J. J. Hong, Y. C. Luo, Y. Zhang, J. B. Ying, W. W. Xue, T. Xie, L. Tao*, F. Zhu*. Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(4): 1437-1447 (2020). PMID: 31504150.
    11. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.58% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.94% in 2022.

  11. J. J. Hong, Y. C. Luo, M. J. Mou, J. B. Fu, Y. Zhang, W. W. Xue, T. Xie, L. Tao*, Y. Lou*, F. Zhu*. Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(5): 1825-1836 (2020). PMID: 31860715.
    12. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.73% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.18% in 2022.

  12. Y. X. Wang, F. C. Li, Y, Zhang, Y. Zhou, Y. Tan, Y. Z. Chen*, F. Zhu*. Databases for the targeted COVID-19 therapeutics. British Journal of Pharmacology (当年影响因子: 7.7, 医学二区 TOP 期刊). 177(21): 4999-5001 (2020). PMID: 32845521.

  13. J. Tang, Y. X. Wang, Y. C. Luo, J. B. Fu, Y. Zhang, Y. Li, Z. Y. Xiao, Y. Lou, Y. Q. Qiu*, F. Zhu*. Computational advances of tumor marker selection and sample classification in cancer proteomics. Computational and Structural Biotechnology Journal (当年影响因子: 6.0, 生物二区 TOP 期刊). 18: 2012-2025 (2020). PMID: 32802273.

  14. F. C. Li, Y. Zhou, X. Y. Zhang, J. Tang, Q. X. Yang, Y. Zhang, Y. C. Luo, J. Hu*, W. W. Xue, Y. Q. Qiu, Q. J. He, B. Yang, F. Zhu*. SSizer: determining the sample sufficiency for comparative biological study. Journal of Molecular Biology (当年影响因子: 5.1, 生物二区 TOP 期刊). 432(11): 3411-3421 (2020). PMID: 32044343.
    15. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.93% in 2023.

  15. Y. Zhang, G. X. Zheng, T. T. Fu, J. J. Hong, F. C. Li, X. J. Yao, W. W. Xue*, F. Zhu*. The binding mode of vilazodone in the human serotonin transporter elucidated by ligand docking and molecular dynamics simulations. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 22(9): 5132-5144 (2020). PMID: 32073004.

  16. W. W. Xue*, T. T. Fu, G. X. Zheng, G. Tu, Y. Zhang, F. Y. Yang, L. Tao, L. X. Yao, F. Zhu*. Recent advances and challenges of the drugs acting on monoamine transporters. Current Medicinal Chemistry (当年影响因子: 4.2, 医学二区期刊). 27(23): 3830-3876 (2020). PMID: 30306851.
    17. 科技媒体及新闻报道 :

  17. J. B. Fu, Y. C. Luo, M. J. Mou, H. N. Zhang, J. Tang, Y. X. Wang, F. Zhu*. Advances in current diabetes proteomics: from the perspectives of label-free quantification and biomarker selection. Current Drug Targets (当年影响因子: 2.6, 医学三区期刊). 21(1): 34-54 (2020). PMID: 31433754.

  18. Y. Zhang, T. T. Fu, Y. X. Ren, F. C. Li, G. X. Zheng, X. J. Yao, W. W. Xue*, F. Zhu*. Selective inhibition of HDAC1 by macrocyclic polypeptide for the treatment of glioblastoma: a binding mechanistic analysis based on molecular dynamics. Frontiers in Molecular Biosciences (当年影响因子: 3.6, 生物三区期刊). 7: 41 (2020). PMID: 32219100.

  19. C. Shen, Z. Wang, X. J. Yao, T. L. Lei, E. C. Wang, Z. Y. Tian, F. Zhu, D. Li, T. J. Hou*. Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power. Briefings in Bioinformatics (当年影响因子: 11.6, 生物一区 TOP 期刊). 21(1): 282-297 (2020). PMID: 30379986.


 2019 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. J. Tang, J. B. Fu, Y. X. Wang, Y. C. Luo, Q. X. Yang, B. Li, G. Tu, J. J. Hong, X. J. Cui, Y. Z. Chen, L. X. Yao, W. W. Xue, F. Zhu*. Simultaneous improvement in the precision, accuracy and robustness of label-free proteome quantification by optimizing data manipulation chains. Molecular & Cellular Proteomics (当年影响因子: 7.4, 生物一区 TOP 期刊). 18(8): 1683-1699 (2019). PMID: 31097671.
    2. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.87% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.12% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.81% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.57% in 2020.

  2. Q. X. Yang, Y. X. Wang, F. C. Li, S. Zhang, Y. C. Luo, Y. Li, J. Tang, B. Li, Y. Z. Chen, W. W. Xue, F. Zhu*. Identification of the gene signature reflecting schizophrenia's etiology by constructing artificial intelligence-based method of enhanced reproducibility. CNS Neuroscience & Therapeutics (当年影响因子: 7.0, 医学一区 TOP 期刊). 25(9): 1054-1063 (2019). PMID: 31350824.
    3. 封面论文 :

  3. Y. Zhang, J. B. Ying, J. J. Hong, F. C. Li, T. T. Fu, F. Y. Yang, G. X. Zheng, X. J. Yao, Y. Lou, Y. Q. Qiu, W. W. Xue*, F. Zhu*. How does chirality determine the selective inhibition of histone deacetylase 6? A lesson from Trichostatin A enantiomers based on molecular dynamics. ACS Chemical Neuroscience (当年影响因子: 4.2, 化学二区 TOP 期刊). 10(5): 2467-2480 (2019). PMID: 30784262.
    4. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.48% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.85% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 1.19% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.74% in 2020.
    封面论文 :

  4. Z. J. Han, J. Hua, W. W. Xue, F. Zhu*. Integrating the ribonucleic acid sequencing data from various studies for exploring the multiple sclerosis-related long noncoding ribonucleic acids and their functions. Frontiers in Genetics (当年影响因子: 4.2, 医学三区期刊). 10: 1136 (2019). PMID: 31781177.

  5. X. J. Cui, Q. X. Yang, B. Li, J. Tang, X. Y. Zhang, S. Li, F. C. Li, J. Hu*, Y. Lou, Y. Q. Qiu, W. W. Xue, F. Zhu*. Assessing the effectiveness of direct data merging strategy in long-term and large-scale pharmacometabonomics. Frontiers in Pharmacology (当年影响因子: 3.8, 医学二区期刊). 10: 127 (2019). PMID: 30842738.

  6. Z. J. Han, W. W. Xue, L. Tao, F. Zhu*. Identification of key lncRNAs in the pathology of Alzheimer’s disease and their functions based on the GWAS, microarray and RNA-seq data. Journal of Alzheimer's Disease (当年影响因子: 3.8, 医学二区期刊). 68(1): 339-355 (2019). PMID: 30776002.

  7. Q. X. Yang, Y. X. Wang, S. Zhang, J. Tang, F. C. Li, J. Y. Yin, Y. Li, J. B. Fu, B. Li, W. W. Xue*, F. Zhu*. Biomarker discovery for immunotherapy of pituitary adenomas: enhanced robustness and prediction ability by modern computational tools. International Journal of Molecular Sciences (当年影响因子: 4.2, 化学三区期刊). 20(1): 151 (2019). PMID: 30609812.

  8. X. F. Li, X. X. Li, Y. H. Li, C. Y. Yu, W. W. Xue, J. Hu*, B. Li, P. P. Wang, F. Zhu*. What makes species productive of anti-cancer drugs? Clues from drugs' species origin, druglikeness, target and pathway. Anti-Cancer Agents in Medicinal Chemistry (当年影响因子: 2.6, 医学三区期刊). 19(2): 194-203 (2019). PMID: 30370862.

  9. J. Tang, Y. X. Wang, Y. Li, Y. Zhang, R. Y. Zhang, Z. Y. Xiao, Y. C. Luo, X. Y. Guo, L. Tao, Y. Lou, W. W. Xue, F. Zhu*. Recent technological advances in the mass spectrometry-based nanomedicine studies: an insight from nanoproteomics. Current Pharmaceutical Design (当年影响因子: 2.8, 医学三区期刊). 25(13): 1536-1553 (2019). PMID: 31258068.

  10. X. Ding, K. X. Fan, J. T. Hu, Z. L. Zang, S. L. Zhang, Y. Zhang, Z. C. Lin, X. D. Pei, X. Zheng, F. Zhu, H. Yang*, S. Li*. SCP2-mediated cholesterol membrane trafficking promotes the growth of pituitary adenomas via Hedgehog signaling activation. Journal of Experimental & Clinical Cancer Research (当年影响因子: 5.6, 医学二区期刊). 38(1): 404 (2019). PMID: 31519191.

  11. G. Q. Weng, E. C. Wang, Z. Wang, H. Liu, F. Zhu, D. Li, T. J. Hou*. HawkDock: a web server to predict and analyze the protein-protein complex based on computational docking and MM/GBSA. Nucleic Acids Research (当年影响因子: 11.6, 生物一区 TOP 期刊). 47(W1): 322-330 (2019). PMID: 31106357.
    12. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.53% in 2023.

  12. Z. Wang, X. W. Wang, Y. Y. Li, T. L. Lei, E. C. Wang, D. Li, Y. Kang, F. Zhu, T. J. Hou*. farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB(GB)SA methods. Bioinformatics (当年影响因子: 5.5, 生物二区 TOP 期刊). 35(10): 1777-1779 (2019). PMID: 30329012.
    13. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.50% in 2023.

  13. H. Y. Chen, W. T. Fu, Z. Wang, X. W. Wang, T. L. Lei, F. Zhu, D. Li, S. Chang, L. Xu, T. J. Hou*. Reliability of docking-based virtual screening for GPCR ligands with homology modeled structures: a case study of angiotensin II type I receptor. ACS Chemical Neuroscience (当年影响因子: 4.2, 化学二区 TOP 期刊). 10(1): 677-689 (2019). PMID: 30265513.

  14. T. L. Xie, J. Yu, W. T. Fu, Z. Wang, L. Xu, S. Chang, E. C. Wang, F. Zhu, S. Zeng, Y. Kang, T. J. Hou*. Insight into the selective binding mechanism of DNMT1 and DNMT3A inhibitors: a molecular simulation study. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 21(24): 12931-12947 (2019). PMID: 31165133.

  15. E. C. Wang, G. Q. Weng, H. Y. Sun, H. Y. Du, F. Zhu, F. Chen, Z. Wang, T. J. Hou*. Assessing the performance of the MM/PBSA and MM/GBSA methods. 10. Impacts of enhanced sampling and variable dielectric model on protein-protein interactions. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 21(35): 18958-18969 (2019). PMID: 31453590.
    16. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 1.86% in 2023.


 2018 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. Y. H. Li, C. Y. Yu, X. X. Li, P. Zhang, J. Tang, Q. X. Yang, T. T. Fu, X. Y. Zhang, X. J. Cui, G. Tu, Y. Zhang, S. Li, F. Y. Yang, Q. Sun, C. Qin, X. Zeng, Z. Chen, Y. Z. Chen*, F. Zhu*. Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics. Nucleic Acids Research (当年影响因子: 11.6, 生物一区 TOP 期刊). 46(D1): 1121-1127 (2018). PMID: 29140520.
    2. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.28% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.21% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.15% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.14% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.16% in 2019.
    领域内专家评论 :
    • Introduced by OMICTOOLS as "useful for facilitating patient focused research, discovery and clinical investigations of the targeted therapeutics".

  2. J. B. Fu, J. Tang, Y. X. Wang, X. J. Cui, Q. X. Yang, J. J. Hong, X. X. Li, S. Li, Y. Z. Chen, W. W. Xue, F. Zhu*. Discovery of the consistently well-performed analysis chain for SWATH-MS based pharmacoproteomic quantification. Frontiers in Pharmacology (当年影响因子: 4.4, 医学二区期刊). 9: 681 (2018). PMID: 29997509.
    3. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 1.67% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.46% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.99% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.85% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.78% in 2019.

  3. F. Zhu*, X. X. Li, S. Y. Yang, Y. Z. Chen*. Clinical success of drug targets prospectively predicted by in-silico study. Trends in Pharmacological Sciences (当年影响因子: 12.8, 医学一区 TOP 期刊). 39(3): 229-231 (2018). PMID: 29295742.
    4. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.30% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.84% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.38% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.34% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.10% in 2019.

  4. Z. J. Han, W. W. Xue, L. Tao, F. Zhu*. Identification of novel immune-relevant drug target genes for alzheimer's disease by combining ontology inference with network analysis. CNS Neuroscience & Therapeutics (当年影响因子: 7.0, 医学一区 TOP 期刊). 24(12): 1253-1263 (2018). PMID: 30106219.
    5. 奖励与荣誉 :
    • Wiley Top Cited Paper Award (2020).
    封面论文 :

  5. F. Y. Yang, G. X. Zheng, T. T. Fu, X. F. Li, G. Tu, Y. H. Li, X. J. Yao, W. W. Xue*, F. Zhu*. Prediction of binding mode and resistance profile for dual-target pyrrolyl diketo acid scaffold against HIV-1 integrase and reverse-transcriptase associated ribonuclease H. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 20(37): 23873-23884 (2018). PMID: 29947629.
    6. 封底论文 :

  6. X. X. Li, J. Y. Yin, J. Tang, Y. H. Li, Q. X. Yang, Z. Y. Xiao, R. Y. Zhang, Y. X. Wang, J. J. Hong, L. Tao, W. W. Xue, F. Zhu*. Determining the balance between drug efficacy and safety by the network and biological system profile of its therapeutic target. Frontiers in Pharmacology (当年影响因子: 4.4, 医学二区期刊). 9: 1245 (2018). PMID: 30429792.

  7. T. T. Fu, G. X. Zheng, G. Tu, F. Y. Yang, Y. Z. Chen, X. J. Yao, X. F. Li, W. W. Xue*, F. Zhu*. Exploring the binding mechanism of metabotropic glutamate receptor 5 negative allosteric modulators in clinical trials by molecular dynamics simulations. ACS Chemical Neuroscience (当年影响因子: 4.2, 化学二区 TOP 期刊). 9(6): 1492-1502 (2018). PMID: 29522307.
    8. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.54% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.35% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.71% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.78% in 2020.

  8. W. W. Xue, P. P. Wang, G. Tu, F. Y. Yang, G. X. Zheng, X. F. Li, X. X. Li, Y. Z. Chen, X. J. Yao, F. Zhu*. Computational identification of the binding mechanism of triple reuptake inhibitor amitifadine for the treatment of major depressive disorder. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 20(9): 6606-6616 (2018). PMID: 29451287.
    9. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.83% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.95% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 1.45% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 1.47% in 2020.

  9. W. W. Xue, F. Y. Yang, P. P. Wang, G. X. Zheng, Y. Z. Chen, X. J. Yao, F. Zhu*. What contributes to serotonin-norepinephrine reuptake inhibitors' dual-targeting mechanism? The key role of transmembrane domain 6 in human serotonin and norepinephrine transporters revealed by MD simulation. ACS Chemical Neuroscience (当年影响因子: 4.2, 化学二区 TOP 期刊). 9(5): 1128-1140 (2018). PMID: 29300091.
    10. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.11% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.18% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.14% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.21% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.29% in 2019.

  10. G. X. Zheng, F. Y. Yang, T. T. Fu, G. Tu, Y. Z. Chen, X. J. Yao, W. W. Xue*, F. Zhu*. Computational characterization of the selective inhibition of human norepinephrine and serotonin transporters by escitalopram scaffold. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 20(46): 29513-29527 (2018). PMID: 30457616.

  11. C. Y. Yu, X. X. Li, H. Yang, Y. H. Li, W. W. Xue, Y. Z. Chen, L. Tao, F. Zhu*. Assessing the performances of protein function prediction algorithms from the perspectives of identification accuracy and false discovery rate. International Journal of Molecular Sciences (当年影响因子: 3.7, 化学三区期刊). 19(1): 183 (2018). PMID: 29316706.

  12. G. Tu, T. T. Fu, F. Y. Yang, L. X. Yao, W. W. Xue*, F. Zhu*. Prediction of GluN2B-CT1290-1310/DAPK1 interaction by protein-peptide docking and molecular dynamics simulation. Molecules (当年影响因子: 3.1, 化学三区期刊). 23(11): 3018 (2018). PMID: 30463177.

  13. J. Tang, Y. Zhang, J. B. Fu, Y. X. Wang, Y. Li, Q. X. Yang, L. X. Yao, W. W. Xue*, F. Zhu*. Computational advances in the label-free quantification of cancer proteomics data. Current Pharmaceutical Design (当年影响因子: 2.8, 医学三区期刊). 24(32): 3842-3858 (2018). PMID: 30387388.

  14. P. C. Pan, J. Chen, X. J. Li, M. Y. Li, H. D. Yu, J. Zhao, J. Ni, X. W. Wang, H. Y. Sun, S. Tian, F. Zhu, F. Liu, Y. Huang, T. J. Hou*. Structure-based drug design and identification of H2O-soluble and low toxic hexacyclic camptothecin derivatives with improved efficacy in cancer and lethal inflammation models in vivo. Journal of Medicinal Chemistry (当年影响因子: 6.3, 医学二区 TOP 期刊). 61(19): 8613-8624 (2018). PMID: 30227711.

  15. F. Chen, H. Y. Sun, J. M. Wang, F. Zhu, H. Liu, Z. Wang, T. L. Lei, Y. Y. Li, T. J. Hou*. Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein-RNA complexes. RNA (当年影响因子: 4.6, 生物二区期刊). 24(9): 1183-1194 (2018). PMID: 29930024.

  16. J. Shang, B. Hu, J. M. Wang, F. Zhu, Y. Kang, D. Li, H. Y. Sun, D. X. Kong, T. J. Hou*. Cheminformatic insight into the differences between terrestrial and marine originated natural products. Journal of Chemical Information and Modeling (当年影响因子: 3.8, 化学二区 TOP 期刊). 58(6): 1182-1193 (2018). PMID: 29792805.

  17. H. Y. Sun, F. Chen, H. Liu, Z. Wang, P. C. Chen, F. Zhu, T. J. Hou*. Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 20(21): 14450-14460 (2018). PMID: 29785435.
    18. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.18% in 2023.

  18. X. T. Kong, H. Y. Sun, P. C. Pan, F. Zhu, S. Chang, L. Xu, Y. Y. Li, T. J. Hou*. Importance of protein flexibility on molecular recognition: a case study on type-I1/2 inhibitors of ALK. Physical Chemistry Chemical Physics (当年影响因子: 4.1, 化学二区 TOP 期刊). 20(7): 4851-4863 (2018). PMID: 29383359.


 2017 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. B. Li, J. Tang, Q. X. Yang, S. Li, X. J. Cui, Y. H. Li, Y. Z. Chen, W. W. Xue, X. F. Li, F. Zhu*. NOREVA: normalization and evaluation of MS-based metabolomics data. Nucleic Acids Research (当年影响因子: 10.2, 生物一区 TOP 期刊). 45(W1): 162-170 (2017). PMID: 28525573.
    2. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.60% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.77% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.71% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.75% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 1.27% in 2019.
    • The Percentile in Subject Area shown in InCites™ was 2.98% in 2018.
    领域内专家评论 :
    • Introduced by OMICTOOLS as "provided valuable guidance to the selection of suitable algorithm in metabolomics".
    • Discussed in StackExchange as "works fine" and "corrections for batches without QC options".

  2. P. P. Wang, X. Y. Zhang, T. T. Fu, S. Li, B. Li, W. W. Xue*, X. J. Yao, Y. Z. Chen, F. Zhu*. Differentiating physicochemical properties between addictive and nonaddictive ADHD drugs revealed by molecular dynamics simulation studies. ACS Chemical Neuroscience (当年影响因子: 4.3, 化学二区 TOP 期刊). 8(6): 1416-1428 (2017). PMID: 28557437.
    3. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.17% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 1.48% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 1.80% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 1.32% in 2019.

  3. G. X. Zheng, W. W. Xue*, F. Y. Yang, Y. Zhang, Y. Z. Chen, X. J. Yao, F. Zhu*. Revealing vilazodone's binding mechanism underlying its partial agonism to 5-HT1A receptor in the treatment of major depressive disorder. Physical Chemistry Chemical Physics (当年影响因子: 4.4, 化学二区 TOP 期刊). 19(42): 28885-28896 (2017). PMID: 29057413.
    4. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 1.47% in 2020.

  4. P. P. Wang, T. T. Fu, X. Y. Zhang, F. Y. Yang, G. X. Zheng, W. W. Xue*, Y. Z. Chen, X. J. Yao, F. Zhu*. Differentiating physicochemical properties between NDRIs and sNRIs clinically important for the treatment of ADHD. Biochimica et Biophysica Acta - General Subjects (当年影响因子: 5.1, 生物二区期刊). 1861(11A): 2766-2777 (2017). PMID: 28757337.

  5. P. C. Pan, H. D. Yu, Q. L. Liu, X. T. Kong, H. Chen, J. A. Chen, Q. Liu, D. Li, Y. Kang, H. Y. Sun, W. F. Zhou, S. Tian, S. L. Cui, F. Zhu, Y. Y. Li, Y. Huang, T. J. Hou*. Combating drug-resistant mutants of ALK with potent and selective type-I1/2 inhibitors by stabilizing unique DFG-shifted loop conformation. ACS Central Science (当年影响因子: 7.9, 化学一区 TOP 期刊). 3(11): 1208-1220 (2017). PMID: 29202023.

  6. T. Feng, F. Chen, Y. Kang, H. Y. Sun, H. Liu, D. Li, F. Zhu, T. J. Hou*. HawkRank: a new scoring function for protein-protein docking based on weighted energy terms. Journal of Cheminformatics (当年影响因子: 4.2, 化学二区 TOP 期刊). 9(1): 66 (2017). PMID: 29282565.

  7. T. L. Lei, H. Y. Sun, Y. Kang, F. Zhu, H. Liu, W. F. Zhou, Z. Wang, D. Li, Y. Y. Li, T. J. Hou*. ADMET evaluation in drug discovery. 18. Reliable prediction of chemical-induced urinary tract toxicity by boosting machine learning approaches. Molecular Pharmaceutics (当年影响因子: 4.4, 医学二区期刊). 14(11): 3935-3953 (2017). PMID: 29037046.

  8. S. Tian, X. Wang, L. L. Li, X. H. Zhang, Y. Y. Li, F. Zhu, T. J. Hou*, X. C. Zhen*. Discovery of novel and selective adenosine A2A receptor antagonists for treating parkinson's disease through comparative structure-based virtual screening. Journal of Chemical Information and Modeling (当年影响因子: 3.8, 化学二区 TOP 期刊). 57(6): 1474-1487 (2017). PMID: 28463561.

  9. X. T. Kong, H. Y. Sun, P. C. Pan, D. Li, F. Zhu, S. Chang, L. Xu, Y. Y. Li*, T. J. Hou*. How does the L884P mutation confer resistance to type-II inhibitors of JAK2 kinase: a comprehensive molecular modeling study. Scientific Reports (当年影响因子: 4.3, 综合性三区期刊). 7(1): 9088 (2017). PMID: 28831147.

  10. J. Y. An, X. D. Pei, Z. L. Zang, Z. Zhou, J. T. Hu, X. Zheng, Y. Zhang, J. J. He, L. Duan, R. F. Shen, W. H. Zhang, F. Zhu, S. Li*, H. Yang*. Metformin inhibits proliferation and growth hormone secretion of GH3 pituitary adenoma cells. Oncotarget (当年影响因子: 5.2, 医学二区期刊). 8(23): 37538-37549 (2017). PMID: 28380462.

  11. P. Zhang, L. Tao, X. Zeng, C. Qin, S. Y. Chen, F. Zhu, Z. R. Li, Y. Y. Jiang, W. P. Chen, Y. Z. Chen*. A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks. Briefings in Bioinformatics (当年影响因子: 8.4, 生物一区 TOP 期刊). 18(6): 1057-1070 (2017). PMID: 27542402.

  12. P. Zhang, L. Tao, X. Zeng, C. Qin, S. Y. Chen, F. Zhu, S. Y. Yang, Z. R. Li, W. P. Chen, Y. Z. Chen*. PROFEAT update: a protein features web-server with added facility to compute network descriptors for studying omics-derived networks. Journal of Molecular Biology (当年影响因子: 4.6, 生物二区 TOP 期刊). 429(3): 416-425 (2017). PMID: 27742592.


 2016 年发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. H. Yang, C. Qin, Y. H. Li, L. Tao, J. Zhou, C. Y. Yu, F. Xu, Z. Chen, F. Zhu*, Y. Z. Chen*. Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information. Nucleic Acids Research (当年影响因子: 9.2, 生物一区 TOP 期刊). 44(D1): 1069-1074 (2016). PMID: 26578601.
    2. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.99% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.99% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.83% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.78% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.66% in 2019.
    • The Percentile in Subject Area shown in InCites™ was 0.71% in 2018.
    • The Percentile in Subject Area shown in InCites™ was 0.87% in 2017.

  2. B. Li, J. Tang, Q. X. Yang, X. J. Cui, S. Li, S. J. Chen, Q. X. Cao, W. W. Xue, N. Chen, F. Zhu*. Performance evaluation and online realization of data-driven normalization methods used in LC/MS based untargeted metabolomics analysis. Scientific Reports (当年影响因子: 5.2, 综合性二区期刊). 6: 38881 (2016). PMID: 27958387.
    3. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.30% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 2.25% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 1.84% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 1.87% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 2.05% in 2019.

  3. W. W. Xue, P. P. Wang, B. Li, Y. H. Li, X. F. Xu, F. Y. Yang, X. J. Yao, Y. Z. Chen, F. Xu*, F. Zhu*. Identification of the inhibitory mechanism of FDA approved selective serotonin reuptake inhibitors: an insight from molecular dynamics simulation study. Physical Chemistry Chemical Physics (当年影响因子: 4.5, 化学二区 TOP 期刊). 18(4): 3260-3271 (2016). PMID: 26745505.
    4. 所构建方法的临床或实验验证 :
    • The cocrystallized structure published (Nature. 532(7599): 334-9, 2016) right after our publication was highly consistent with the drug-target binding mode discovered in this study.

  4. G. X. Zheng, W. W. Xue*, P. P. Wang, F. Y. Yang, B. Li, X. F. Li, Y. H. Li, X. J. Yao, F. Zhu*. Exploring the inhibitory mechanism of approved selective norepinephrine reuptake inhibitors and reboxetine enantiomers by molecular dynamics study. Scientific Reports (当年影响因子: 5.2, 综合性二区期刊). 6: 26883 (2016). PMID: 27230580.

  5. Y. H. Li, P. P. Wang, X. X. Li, C. Y. Yu, H. Yang, J. Zhou, W. W. Xue, J. Tan, F. Zhu*. The human kinome targeted by FDA approved multi-target drugs and combination products: a comparative study from the drug-target interaction network perspective. PLoS ONE (当年影响因子: 3.2, 生物三区期刊). 11(11): e0165737 (2016). PMID: 27828998.

  6. J. Y. Xu, P. P. Wang, H. Yang, J. Zhou, Y. H. Li, X. X. Li, W. W. Xue*, C. Y. Yu, Y. B. Tian, F. Zhu*. Comparison of FDA approved kinase targets to clinical trial ones: insights from their system profiles and drug-target interaction networks. BioMed Research International (当年影响因子: 2.5, 生物三区期刊). 2016: 2509385 (2016). PMID: 27547755.

  7. Y. H. Li, J. Y. Xu, L. Tao, X. F. Li, S. Li, X. Zeng, S. Y. Chen, P. Zhang, C. Qin, C. Zhang, Z. Chen, F. Zhu*, Y. Z. Chen. SVM-Prot 2016: a web-server for machine learning prediction of protein functional families from sequence irrespective of similarity. PLoS ONE (当年影响因子: 3.2, 生物三区期刊). 11(8): e0155290 (2016). PMID: 27525735.
    8. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.07% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 1.67% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 1.31% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 1.41% in 2020.

  8. X. Zheng, S. Li, Z. L. Zang, J. T. Hu, J. Y. An, X. D. Pei, F. Zhu, W. H. Zhang*, H. Yang*. Evidence for possible role of toll-like receptor 3 mediating virus-induced progression of pituitary adenomas. Molecular and Cellular Endocrinology (当年影响因子: 3.8, 医学二区期刊). 426: 22-32 (2016). PMID: 26891958.


 2016 年之前发表的 SCI 论文列表（点击显示/隐藏详细信息）
  1. L. Tao&, F. Zhu&, F. Xu, Z. Chen, Y. Y. Jiang*, Y. Z. Chen*. Co-targeting cancer drug escape pathways confers clinical advantage for multi-target anticancer drugs. Pharmacological Research (当年影响因子: 4.8, 医学二区期刊). 102: 123-131 (2015). PMID: 26438971.

  2. L. Tao, P. Zhang, C. Qin, S. Y. Chen, C. Zhang, Z. Chen, F. Zhu, S. Y. Yang, Y. Q. Wei, Y. Z. Chen*. Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools. Advanced Drug Delivery Reviews (当年影响因子: 15.6, 医学一区 TOP 期刊). 86: 83-100 (2015). PMID: 26037068.

  3. L. Tao, F. Zhu, C. Qin, C. Zhang, S. Y. Chen, P. Zhang, C. L. Zhang, C. Y. Tan, C. M. Gao, Z. Chen, Y. Y. Jiang*, Y. Z. Chen*. Clustered distribution of natural product leads of drugs in the chemical space as influenced by the privileged target-sites. Scientific Reports (当年影响因子: 5.6, 综合性二区期刊). 5: 9325 (2015). PMID: 25790752.

  4. P. P. Wang, F. Y. Yang, H. Yang, X. F. Xu, D. Liu, W. W. Xue, F. Zhu*. Identification of dual active agents targeting 5-HT1A and SERT by combinatorial virtual screening methods. Bio-Medical Materials and Engineering (当年影响因子: 1.1, 工程四区期刊). 26(S1): 2233-2239 (2015). PMID: 26406003.

  5. L. Tao, F. Zhu, C. Qin, C. Zhang, F. Xu, C. Y. Tan, Y. Y. Jiang*, Y. Z. Chen*. Nature's contribution to today's pharmacopeia. Nature Biotechnology (当年影响因子: 32.4, 工程一区 TOP 期刊). 32(10): 979-980 (2014). PMID: 25299914.

  6. C. Zhang, C. Qin, L. Tao, F. Zhu, S. Y. Chen, P. Zhang, S. Y. Yang, Y. Q. Wei, Y. Z. Chen*. A resource for facilitating the development of tools in the education and implementation of genomics-informed personalized medicine. Clinical Pharmacology & Therapeutics (当年影响因子: 7.4, 医学一区 TOP 期刊). 95(6): 590-591 (2014). PMID: 24556782.

  7. C. Qin, C. Zhang, F. Zhu, F. Xu, S. Y. Chen, P. Zhang, Y. H. Li, S. Y. Yang, Y. Q. Wei, L. Tao*, Y. Z. Chen*. Therapeutic target database update 2014: a resource for targeted therapeutics. Nucleic Acids Research (当年影响因子: 8.3, 生物一区 TOP 期刊). 42(D1): 1118-1123 (2014). PMID: 24265219.
    8. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.92% in 2018.
    • The Percentile in Subject Area shown in InCites™ was 1.16% in 2017.

  8. X. Liu, F. Zhu, X. H. Ma, Z. Shi, S. Y. Yang, Y. Q. Wei, Y. Z. Chen*. Predicting targeted polypharmacology for drug repositioning and multi-target drug discovery. Current Medicinal Chemistry (当年影响因子: 4.9, 医学二区期刊). 20(13): 1646-1661 (2013). PMID: 23410165.

  9. F. Zhu, X. H. Ma, C. Qin, L. Tao, X. Liu, Z. Shi, C. L. Zhang, C. Y. Tan, Y. Z. Chen*, Y. Y. Jiang*. Drug discovery prospect from untapped species: indications from approved natural product drugs. PLoS ONE (当年影响因子: 4.4, 生物三区期刊). 7(7): e39782 (2012). PMID: 22808057.

  10. X. H. Ma, F. Zhu, X. Liu, Z. Shi, J. X. Zhang, S. Y. Yang, Y. Q. Wei, Y. Z. Chen*. Virtual screening methods as tools for drug lead discovery from large chemical libraries. Current Medicinal Chemistry (当年影响因子: 4.6, 医学二区期刊). 19(32): 5562-5571 (2012). PMID: 23016548.

  11. J. X. Zhang, J. Jia, F. Zhu, X. H. Ma, B. C. Han, X. N. Wei, C. Y. Tan, Y. Y. Jiang*, Y. Z. Chen*. Analysis of bypass signaling in EGFR pathway and profiling of bypass genes for predicting response to anticancer EGFR tyrosine kinase inhibitors. Molecular BioSystems (当年影响因子: 3.8, 生物三区期刊). 8(10): 2645-2656 (2012). PMID: 22833077.

  12. F. Zhu, Z. Shi, C. Qin, L. Tao, X. Liu, F. Xu, L. Zhang, Y. Song, X. H. Liu, J. X. Zhang, B. C. Han, P. Zhang, Y. Z. Chen*. Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery. Nucleic Acids Research (当年影响因子: 8.0, 生物一区 TOP 期刊). 40(D1): 1128-1136 (2012). PMID: 21948793.
    13. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.71% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.77% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.69% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.66% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.60% in 2019.
    • The Percentile in Subject Area shown in InCites™ was 0.62% in 2018.
    • The Percentile in Subject Area shown in InCites™ was 0.31% in 2017.

    领域内专家评论 :

  13. F. Zhu, C. Qin, L. Tao, X. Liu, Z. Shi, X. H. Ma, J. Jia, Y. Tan, C. Cui, J. S. Lin, C. Y. Tan, Y. Y. Jiang*, Y. Z. Chen*. Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting. Proceedings of the National Academy of Sciences of the United States of America (当年影响因子: 9.4, 综合性一区 TOP 期刊). 108(31): 12943-12948 (2011). PMID: 21768386.
    14. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.74% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.95% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.98% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.93% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 0.94% in 2019.
    • The Percentile in Subject Area shown in InCites™ was 1.16% in 2018.
    • The Percentile in Subject Area shown in InCites™ was 1.91% in 2017.
    领域内专家评论 : 科技媒体及新闻报道 :

  14. H. B. Rao&, F. Zhu&, G. B. Yang, Z. R. Li*, Y. Z. Chen. Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Nucleic Acids Research (当年影响因子: 7.8, 生物一区 TOP 期刊). 39(W1): 385-390 (2011). PMID: 21609959.

  15. X. Liu, F. Zhu, X. H. Ma, L. Tao, J. X. Zhang, S. Y. Yang, Y. Q. Wei, Y. Z. Chen*. The therapeutic target database: an internet resource for the primary targets of approved, clinical trial and experimental drugs. Expert Opinion on Therapeutic Targets (当年影响因子: 3.7, 生物二区期刊). 15(8): 903-912 (2011). PMID: 21619487.

  16. F. Zhu, B. C. Han, P. Kumar, X. H. Liu, X. H. Ma, X. N. Wei, L. Huang, Y. F. Guo, L. Y. Han, C. J. Zheng, Y. Z. Chen*. Update of TTD: therapeutic target database. Nucleic Acids Research (当年影响因子: 7.5, 生物一区 TOP 期刊). 38(D1): 787-791 (2010). PMID: 19933260.
    17. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.87% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 2.95% in 2017.

  17. F. Zhu, L. Y. Han, C. J. Zheng, B. Xie, M. T. Tammi, S. Y. Yang, Y. Q. Wei, Y. Z. Chen*. What are next generation innovative therapeutic targets? Clues from genetic, structural, physicochemical and system profiles of successful targets. Journal of Pharmacology and Experimental Therapeutics (当年影响因子: 3.9, 医学二区 TOP 期刊). 330(1): 304-315 (2009). PMID: 19357322.
    18. 所构建方法的临床或实验验证 :
    • Pasireotide targeting Somatostatin receptor 1 was approved by FDA in 2011.
    • Fingolimod targeting S1P receptor was approved by FDA in 2010.
    • Ecallantide targeting Plasma Kallikrein was approved by FDA in 2009.
    • Cinryze targeting C1 esterase was approved by FDA in 2009.
    • Icatibant targeting BK-2 receptor was approved by FDA in 2008.
    • Plerixafor targeting CXCR4 was approved by FDA in 2008.

  18. J. Jia, F. Zhu, X. H. Ma, Z. W. Cao, Y. X. Li, Y. Z. Chen*. Mechanisms of drug combinations: interaction and network perspectives. Nature Reviews Drug Discovery (当年影响因子: 23.3, 医学一区 TOP 期刊). 8(2): 111-128 (2009). PMID: 19180105.
    19. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 0.73% in 2023.
    • The Percentile in Subject Area shown in InCites™ was 0.76% in 2022.
    • The Percentile in Subject Area shown in InCites™ was 0.91% in 2021.
    • The Percentile in Subject Area shown in InCites™ was 0.97% in 2020.
    • The Percentile in Subject Area shown in InCites™ was 1.06% in 2019.
    • The Percentile in Subject Area shown in InCites™ was 1.13% in 2018.
    • The Percentile in Subject Area shown in InCites™ was 1.39% in 2017.

  19. X. H. Ma, J. Jia, F. Zhu, Y. Xue, Z. R. Li, Y. Z. Chen*. Comparative analysis of machine learning methods in ligand-based virtual screening of large compound libraries. Combinatorial Chemistry & High Throughput Screening (当年影响因子: 2.3, 化学四区期刊). 12(4): 344-357 (2009). PMID: 19442064.

  20. F. Zhu, L. Y. Han, X. Chen, H. H. Lin, S. Ong, B. Xie, H. L. Zhang, Y. Z. Chen*. Homology-free prediction of functional class of proteins and peptides by support vector machines. Current Protein & Peptide Science (当年影响因子: 4.0, 生物三区期刊). 9(1): 70-95 (2008). PMID: 18336324.

  21. L. Y. Han, X. H. Ma, H. H. Lin, J. Jia, F. Zhu, Y. Xue, Z. R. Li, Z. W. Cao, Z. L. Ji, Y. Z. Chen*. A support vector machines approach for virtual screening of active compounds of single and multiple mechanisms from large libraries at an improved hit-rate and enrichment factor. Journal of Molecular Graphics & Modelling (当年影响因子: 2.4, 生物四区期刊). 26(8): 1276-1286 (2008). PMID: 18218332.
    22. ESI 高被引或扩展高被引论文 :
    • The Percentile in Subject Area shown in InCites™ was 2.71% in 2023.

  22. L. Y. Han, C. J. Zheng, B. Xie, J. Jia, X. H. Ma, F. Zhu, H. H. Lin, X. Chen, Y. Z. Chen*. Support vector machines approach for predicting druggable proteins: recent progress in its exploration and investigation of its usefulness. Drug Discovery Today (当年影响因子: 7.8, 药学一区 TOP 期刊). 12(7-8): 304-313 (2007). PMID: 17395090.

  23. H. H. Lin, L. Y. Han, C. W. Yap, Y. Xue, X. H. Liu, F. Zhu, Y. Z. Chen*. Prediction of factor Xa inhibitors by machine learning methods. Journal of Molecular Graphics & Modelling (当年影响因子: 2.3, 生物四区期刊). 26(2): 505-518 (2007). PMID: 17418603.


国际/国内学术会议 ( news in photo)


 承办或（参与）组织的学术会议（点击显示/隐藏详细信息）
  1. F. Zhu is the Chair of the Organizing Committee for The 4th Worldwide Chinese Computational Biology Conference. Zhejiang University, Hangzhou, P. R. China (2022).

  2. F. Zhu is the Member of the Academic Committee for The 4th Worldwide Chinese Computational Biology Conference. Zhejiang University, Hangzhou, P. R. China (2022).

  3. F. Zhu is the Chair of the Organizing Committee for The 11st Asia Hub for e-Drug Discovery. Zhejiang University, Hangzhou, P. R. China (2021).

  4. F. Zhu is the Member of the Academic Committee for The 11st Asia Hub for e-Drug Discovery. Zhejiang University, Hangzhou, P. R. China (2021).

  5. F. Zhu is the Chairman of the Symposium II (chemometrics and life science) for The 16th National Symposium of Computer & Computational Chemistry. Jilin University, Changchun, P. R. China (2021).

  6. F. Zhu is the Member of the Academic Committee for The 16th National Symposium of Computer & Computational Chemistry. Jilin University, Changchun, P. R. China (2021).

  7. F. Zhu is the Chairman of the Symposium IV (precision drug design and precision medicine) for The 15th National Symposium of Computer & Computational Chemistry. Fudan University, Shanghai, P. R. China (2019).

  8. F. Zhu is the Member of the Academic Committee for The 15th National Symposium of Computer & Computational Chemistry. Fudan University, Shanghai, P. R. China (2019).

  9. F. Zhu is the Chairman of the Symposium II (OMIC big data and medical application) for The Fourth CCF Bioinformatics Conference. South China University of Technology, Guangzhou, P. R. China (2019).

  10. F. Zhu is the Member of the Academic Committee for The Fourth CCF Bioinformatics Conference. South China University of Technology, Guangzhou, P. R. China (2019).

  11. F. Zhu is the Vice-chairman of the Symposium 24 Session-4 for The 31st Academic Annual Conference of the Chinese Chemical Society. Zhejiang University, Hangzhou, P. R. China (2018).

  12. F. Zhu is the Chairman of the Symposium IV Session -7 for Asian Federation for Pharmaceutical Sciences Conference 2017. Xiamen University, Xiamen, P. R. China (2017).

  13. F. Zhu is the Member of the Academic Committee for The 14th National Symposium of Computer & Computational Chemistry. Nanjing University, Nanjing, P. R. China (2017).

  14. F. Zhu is the Member of the Academic Committee for The Second CCF Bioinformatics Conference (CBC-2017). Central South University, Changsha, P. R. China (2017).

  15. F. Zhu is the Chairman of the sub-conference 103 (multi-target and protein-protein interaction) for BIT’s 6th Annual International Congress of Medichem-2016 (ICM-2016). China Pharmaceutical University, Nanjing, P. R. China (2016).

  16. F. Zhu is the Vice-chairman of the 6th theme (study on drug transporter and PK/PD) for BIT’s 6th Annual International Congress of Medichem-2016 (ICM-2016). China Pharmaceutical University, Nanjing, P. R. China (2016)

  17. F. Zhu is the Chair of the Organizing Committee for The 2nd Symposium on Bioinformatics and Drug Design. Chongqing University, Chongqing, P. R. China (2016).

  18. F. Zhu is the Member of the Academic Committee for The 2nd Symposium on Bioinformatics and Drug Design. Chongqing University, Chongqing, P. R. China (2016).

  19. F. Zhu is the Member of the Academic Committee for The 13th National Symposium of Computer & Computational Chemistry. Sun Yat-sen University, Guangzhou, P. R. China (2015).

  20. F. Zhu is the Member of the Organizing Committee for International Symposium on Natural Product Synthesis and Innovative Process Methods for Drug Manufacture. Chongqing University, Chongqing, P. R. China (2012).


 在国际/国内学术会议上作大会主题报告（点击显示/隐藏详细信息）

  1. F. Zhu*. Artificial intelligence-based discovery of new drug target. Invited keynote speaker of domestic conference for Strategy Seminar on Chemistry Division of the National Natural Science Foundation of China & 2021 Annual National Computational Toxicology Conference of China. Yanan University, Yanan, P. R. China (2021).

  2. F. Zhu*. Promising target discovery based on multi-omics data. Invited keynote speaker of domestic conference for 2020 Annual Conference of Digitization in Medical Administration and Artificial Intelligence in Drug Discovery. Zhejiang Medical Association, Hangzhou, P. R. China (2020).

  3. F. Zhu*. Processing of metabolomic data using NOREVA. Invited keynote speaker of domestic conference for 2020 Annal Symposium on Translational Medicine, Bioinformatics and Genomics/Proteomics/Metabolomics-based Technology. Chongqing Medical University, Chongqing, P. R. China (2020).

  4. F. Zhu*. Therapeutic target discovery based on artificial intelligence. Invited keynote speaker of domestic conference for 2019 Forum of Intelligent Development of Traditional Chinese Medicine. China Information Association of Traditional Chinese Medicine, Shanghai, P. R. China (2019).

  5. F. Zhu*. Clinical target discovery inspired from artificial intelligence. Invited keynote speaker of domestic conference for 1st West Lake Clinical Research and Evaluation Conference. The First Affiliated Hospital, Zhejiang University, Hangzhou, P. R. China (2018).

  6. F. Zhu*. Identification of key factors indicating the progression timelines of novel drug targets. Invited keynote speaker of international conference for 11th China-Japan Symposium on Molecular Drug Design and Development. Zhejiang University and Chinese Academy of Medical Sciences & Peking Union Medical College, Shaoxing, P. R. China (2018).

  7. F. Zhu*. Identification of next generation innovative therapeutic target from OMICs data. Invited keynote speaker of domestic conference for 2017 Symposium on Pharmaceutical Chemistry of the Yangtze River Delta Metropolitan Region. Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, P. R. China (2017).


 在国际/国内学术会议上作邀请报告（点击显示/隐藏详细信息）

  1. F. Zhu*. Progression-speed differentiating features of the innovative targets of first-in-class drugs. Invited speaker of international conference for The PacifiChem 2021 Symposium. International Chemical Congress of Pacific Basin Societies, Hawaii, USA (2021).

  2. F. Zhu*. Artificial intelligence and molecular simulation for accelerating target discovery. Invited speaker of international conference for The AHeDD2019/IPAB2019 Joint Symposium. Tokyo Institute of Technology, Kawasaki, Japan (2019).

  3. F. Zhu*. AI-based discovery of innovative therapeutic target. Invited speaker of domestic conference for The 15th National Symposium of Computer & Computational Chemistry. Fudan University, Shanghai, P. R. China (2019).

  4. F. Zhu*. Machine learning-based discovery of innovative therapeutic target. Invited speaker of domestic conference for The 4th China Analytical Pharmacology Conference. Shenyang Pharmaceutical University, Shenyang, P. R. China (2019).

  5. F. Zhu*. AI-based discovery of drug target for HIV infection. Invited speaker of domestic conference for Computational Drug Discovery and ACM Chinese Council. Central South University, Changsha, P. R. China (2019).

  6. F. Zhu*. Therapeutic target discovery based on artificial intelligence. Invited speaker of international conference for 2019 Chinese Medicinal Chemistry Symposium & CPA-EFMC International Symposium on Medicinal Chemistry. Sichuan University, Chengdu, P. R. China (2019).

  7. F. Zhu*. Simultaneous improvement in the precision, accuracy and robustness of label-free proteome quantification by optimizing data manipulation chains. Invited speaker of international conference for The Taizhou International Conference on Artificial Intelligence and Biomedical Research. Taizhou University, Taizhou, P. R. China (2019).

  8. F. Zhu*. ANPELA: analysis and performance-assessment of the label-free quantification workflow for metaproteomic studies. Invited speaker of domestic conference for The 2019 Jiangsu-Zhejiang International Symposium of Bioinformatics and Computational Sciences. Jiangnan University, Wuxi, P. R. China (2019).

  9. F. Zhu*. Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data. Invited speaker of domestic conference for The 3rd Conference of Analytical Pharmacology. Zunyi Medical University, Zuiyi, P. R. China (2018).

  10. F. Zhu*. Progression of first-in-class drugs and their corresponding targets. Invited speaker of domestic conference for The 10th National Symposium of Genetics Society of China. Nanjing Agricultural University, Nanjing, P. R. China (2018).

  11. F. Zhu*. Proteomics-directed novel target discovery. Invited speaker of domestic conference for The 2018 Annual Symposium of the Shanghai Association of Chinese Integrative Medicine. Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China (2018).

  12. F. Zhu*. Progression-speed differentiating features of the targets of first-in-class drugs. Invited speaker of domestic conference for The 14th Symposium of the Chinese Pharmaceutical Association for Youth Pharmacologist. Chinese Pharmaceutical Association, Hangzhou, P. R. China (2018).
  13. F. Zhu*. Target discovery using proteomic and system biological data. Invited speaker of international conference for The 2nd Worldwide Chinese Computational Biology and Molecular Simulation Conference. Sun Yat-sen University, Guangzhou, P. R. China (2018).

  14. F. Zhu*. OMICs based innovative drug target discovery. Invited speaker of domestic conference for The 31st Academic Annual Conference of the Chinese Chemical Society. Zhejiang University, Hangzhou, P. R. China (2018).

  15. F. Zhu*. Next generation innovative therapeutic target from NOREVA. Invited speaker of international conference for Asian Federation for Pharmaceutical Sciences Conference 2017. Xiamen University, Xiamen, P. R. China (2017).

  16. F. Zhu*. Target identification assisted by big-data analyzing tools. Invited speaker of domestic conference for The 14th National Symposium of Computer & Computational Chemistry. Nanjing University, Nanjing, P. R. China (2017).

  17. F. Zhu*. Drug design and big-data platform. Invited speaker of domestic conference for The 5th Academic Forum for Postgraduates. Sichuan University, Chengdu, P. R. China (2017).

  18. W. W. Xue*, F. Zhu*. What contributes to SNRIs’ dual-targeting mechanism? The key role played by TM6 domain. Invited speaker of domestic conference for The Second Conference on Innovative Drug Research and Application. Nanjing Biotech and Pharmaceutical Valley, Nanjing, P. R. China (2017).

  19. F. Zhu*. Normalization and evaluation of metabolomics and proteomics data from multiple perspectives. Invited speaker of domestic conference for Bioinformatics and Intelligent Information Processing Academic Conference 2017 (BIIP2017). Shanghai Jiao Tong University, Shanghai, P. R. China (2017).

  20. F. Zhu*. NOREVA: normalization and evaluation of MS-based metabolomics data. Invited speaker of domestic conference for The Fifth Young Scholars Forum for Interdisciplinary Researches in Mathematics, Computer Sciences and Biological Sciences. Academy of Mathematics and System Science, Chinese Academy of Sciences, Beijing, P. R. China (2017).

  21. F. Zhu*. Normalization and evaluation of MS-based metabolomics data from multiple perspectives. Invited speaker of domestic conference for The 2017 (the second) Conference on Precision and Future Medicine. Zhejiang University, Hangzhou, P. R. China (2017).

  22. F. Zhu*. Large-scale metabolomics data analysis. Invited speaker of domestic conference for China Society of Biotechnology Young Scientists Forum II. South China University of Technology, Guangzhou, P. R. China (2017).

  23. F. Zhu*. Bioinformatics strategies in precision medicine. Invited speaker of international conference for The 2016 Symposium of Guanghua Young Distinguished Scholars. Fudan University, Shanghai, P. R. China (2016).

  24. F. Zhu*. Insight into the pathogenesis of pituitary adenomas by analyzing trans-omic data. Invited speaker of international conference for BIT’s 6th Annual International Congress of Medichem-2016 (ICM-2016). China Pharmaceutical University, Nanjing, P. R. China (2016).

  25. F. Zhu*. Metabolomics meta-analysis by MMEASE. Invited speaker of international conference for The 1st International Symposium on Targeted Therapeutics and Molecular Medicine (ISTTMM 2016). Chongqing University of Arts and Sciences, Chongqing, P. R. China (2016).

  26. W. W. Xue, F. Zhu*. Molecular dynamics study and comparison on the binding modes of SSRIs, sNRIs and SNRIs antidepressants. Invited speaker of international conference for BIT’s 6th Annual International Congress of Medichem-2016 (ICM-2016). China Pharmaceutical University, Nanjing, P. R. China (2016).

  27. G. X. Zheng, W. W. Xue, F. Zhu*. Exploring the inhibitory mechanism of approved selective norepinephrine reuptake inhibitors from molecular dynamics study. Invited speaker of international conference for The 4th International Conference on Molecular Simulation (ICMS 2016). Shanghai Jiao Tong University, Shanghai, P. R. China (2016).

  28. F. Zhu*. Normalization and meta-analysis of metabolomics data. Invited speaker of domestic conference for The 7th National Conference on Bioinformatics & System Biology. University of Electronic Science and Technology of China, Chengdu, P. R. China (2016).

  29. F. Zhu*. Insight into the pathogenesis of pituitary adenomas by meta-analysis of transcriptomic and metabolomic Data. Invited speaker of domestic conference for The 2016 Conference on Precision Medicine. Xian Jiaotong University, Xian, P. R. China (2016).

  30. F. Zhu*. Identification of the inhibitory mechanism of FDA approved selective serotonin reuptake inhibitors: an insight from molecular dynamics simulation study. Invited speaker of international conference for The 12th Sino-US Chemistry Professors Conference. Sun Yat-sen University, Guangzhou, P. R. China (2016).

  31. F. Zhu*. Discovering the stable marker identification methods for metabonomics study. Invited speaker of international conference for The 2016 Symposium of International Young Distinguished Scholars. Tongji University, Shanghai, P. R. China (2016).

  32. F. Zhu*. Design of multi-target anticancer drugs by analyzing the protein-protein interaction network of cancer. Invited speaker of domestic conference for The 2nd Symposium on Bioinformatics and Drug Design. Chongqing University, Chongqing, P. R. China (2016).

  33. F. Zhu*. Meta-analysis of metabolomic data. Invited speaker of domestic conference for The 2016 Conference on Bioinformatics and Intelligent Information Processing (BIIP2016). Jilin University, Jilin, P. R. China (2016).

  34. F. Zhu*. MMEASE: a web-server for meta-analysis of metabolomic data by enhanced metabolite annotation, marker Selection and Enrichment analysis. Invited speaker of domestic conference for The 30th Academic Annual Conference of the Chinese Chemical Society. Dalian University of Technology, Dalian, P. R. China (2016).

  35. F. Zhu*. Identifying the metabonomics biomarkers. Invited speaker of domestic conference for The 2016 Academic Salon of Shanghai Society for Bioinformatics. Fudan University, Shanghai, P. R. China (2016).

  36. F. Zhu*. Insight into the pathogenesis of pituitary adenomas by meta-analysis of transcriptomic data. Invited speaker of domestic conference for The 2016 Symposium of Big Data and Precision Biomedical Informatics. Shanghai Jiao Tong University, Shanghai, P. R. China (2016).

  37. W. W. Xue and F. Zhu*. Identification of multi-target drug against remote target pair using combinatorial support vector mechine method. Invited speaker of domestic conference for The 13th National Symposium of Computer & Computational Chemistry. Sun Yat-sen University, Guangzhou, P. R. China (2015).

  38. F. Zhu*. Future bioprospecting: from the clustered patterns of species origins of nature-derived drugs. Invited speaker of international conference for The 6th International Conference of Molecular Simulation and Applied Information Technologies (6th-ICMS&I). China Pharmaceutical University, Nanjing, P. R. China (2012).

  39. F. Zhu*. Drug discovery prospect from untapped species: indications from approved natural product drugs. Invited speaker of international conference for International Symposium on Natural Product Synthesis and Innovative Process Methods for Drug Manufacture. Chongqing University, Chongqing, P. R. China (2012).

  40. F. Zhu*. Identification of next generation innovative therapeutic targets: clues from genetic, structural, physicochemical and system profile of successful ones. Invited speaker of international conference for Singapore Symposium on Computational Biology 2009 (SYMBIO2009). National University of Singapore, Singapore, Singapore (2009).


 受邀学术访问与交流（点击显示/隐藏详细信息）

  1. F. Zhu*. Bioinformatics tools applied to the research field of brain science. Invited academic visit by Prof. Bo-Chu Wang to Bioengineering College, Chongqing University, Chongqing, P. R. China (2016).

  2. F. Zhu*. Comprehensive assessment of the popular normalization methods used in metabonomics study. Invited academic visit by Prof. Yu-Yang Jiang to Graduate School at Shenzhen, Tsinghua University, Shenzhen, P. R. China (2016).

  3. W. W. Xue and F. Zhu*. Extension of bioinformatics to the fields of brain sciences: metabonomics study of pituitary adenomas and design of multi-target antidepressants. Invited academic visit by Prof. Han-Bing Rao to Faculty of Science, Sichuan Agricultural University, Yaan, P. R. China (2016).

  4. W. W. Xue and F. Zhu*. Design of multi-target anticancer drugs by analyzing the protein-protein interaction network of cancer. Invited academic visit by Prof. Xiao-Jun Yao to School of Pharmacy, Lanzhou University, Lanzhou, P. R. China (2014).

  5. F. Zhu*. Computer-aided drug design based on the complex biological network of cancer. Invited academic visit by Prof. Cheng-Zhi Huang to College of Pharmaceutical Sciences and Chinese Medicine, Southwest University, Chongqing, P. R. China (2014).

  6. F. Zhu*. Identification of multi-target anticancer leads using combinatorial machine learning methods. Invited academic visit by Prof. Wei Wang to State Key Laboratory of Applied Organic Chemistry, Lanzhou University, Lanzhou, P. R. China (2013).

  7. F. Zhu*. Design of anticancer leads and testing of their bioactivities. Invited academic visit by Prof. Da-He Liu to Department of Physics, Beijing Normal University, Beijing, P. R. China (2013).

  8. F. Zhu*. Find target and design bullet for the complex network disease - cancer. Invited academic visit by Prof. Ying Xue to College of Chemistry, Sichuan University, Chengdu, P. R. China (2013).

  9. F. Zhu*. Targets! Bullets! Computer-aided drug design from the network medicine perspective. Invited academic visit by Prof. Han-Bing Rao to Faculty of Science, Sichuan Agricultural University, Yaan, P. R. China (2013).

  10. F. Zhu*. Bioinformatics identification of anticancer drug targets. Invited academic visit by Prof. Kun-Xian Shu to School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, P. R. China (2013).

  11. F. Zhu*. Clustered patterns of species origins of active ingredients in the traditional chinese medicine. Invited academic visit by Prof. Qi-Ni Qian to Chongqing Institute of Medicinal Plant Cultivation, Chongqing Institute of Medicinal Plant Cultivation, Chongqing, P. R. China (2013).


IDRB: Innovative Drug Research and Bioinformatics Group


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