浙江大学 | 药学院 | English Version
     
     
朱峰 - 浙江大学
于导师
朱峰博士

浙江大学 求是特聘教授长聘教授(Tenured Professor)

科睿唯安 全球高被引学者(Clarivate Highly Cited Researcher) 

Web of Science h-index: 60 ; Scopus h-index: 60 ; Google Scholar h-index: 59

zhufeng(at)zju.edu.cn(常用邮箱)prof.zhufeng(at)gmail.com0571-88208444

个人简介
研究兴趣药物化学药物设计新药靶发现生物信息学系统生物学

运用人工智能(机器学习、深度学习等)、复杂网络分析等生物信息学手段和多组学(基因组、转录组、蛋白组、代谢组等)新技术,分析和发现具有治疗效用药物靶点的成药性和系统生物学特性,发展新颖的用于药靶发现的新型预测方法和面向全球的在线工具,并进一步研究(多靶点)药物与重要靶点的相互作用机制。

 学术任职与教育背景
    当前学术任职

  • 浙江大学 求是特聘教授(Distinguished Professor) 博士生导师
  • 浙江大学 长聘教授(Tenured Professor) 博士生导师本科生学术导师
  • 浙江大学 竺可桢学院 知名教授学术小组导师专业导师
  • 爱思唯尔 Computers in Biology and Medicine 主编(Editor-in-ChiefIF = 7.7)
  • 美国化学会 Journal of Chemical Information and Modeling 副主编(Associate EditorIF = 5.6)
  • 边沁科学 Current Bioinformatics 副主编(Associate EditorIF = 4.0)
  • 九三学社全国中央委员会 青年工作委员会 委员
  • 浙江省生物信息学会 智能药学委员会 主任
  • 九三学社 浙江大学医药支社 主任
  • 九三学社 浙江省青年工作委员会 副主任
  • 中国化学会 计算机化学委员会 秘书长
  • 浙江大学 欧美同学会 秘书长
  • 中国生物信息学会(筹) 生物信息与药物发现委员会 副秘书长
  • 中国生物信息学会(筹) 人工智能与生命科学专业委员会 常务委员
  • 中国药理学会 分析药理学委员会 常务委员
  • 中国药理学会 分析药理学青年委员会 常务委员
  • 九三学社 浙江大学委员会 委员
  • 中国细胞生物学会 功能基因组委员会 委员
  • 中国计算机学会 生物信息学委员会 委员
  • 浙江省 科学技术协会 之江青年百人会 委员
  • 浙江大学 新时代人才培养战略伙伴中学讲师团 主讲专家
  • 曾任职和教育背景

  • 中国药理学会 分析药理学青年委员会 副主任
  • 中国药理学会 分析药理学委员会 委员
  • 浙江大学 药学院 百人计划研究员博士生导师
  • 重庆大学 药学院 教授博士生导师
  • 重庆大学 创新药物研究中心 百人计划研究员博士生导师
  • 重庆市 生物信息学会 副理事长
  • 新加坡国立大学 药学系 Research Fellow
  • 新加坡国立大学 药学系 Research Associate
  • 新加坡国立大学 亚洲研究中心和药学系 Research Assistant
  • 新加坡国立大学 药学系 博士
  • 北京师范大学 北京市光学重点实验室 硕士
  • 北京师范大学 物理系 学士
 奖励荣誉与人才计划
    代表性奖励和荣誉

  • 国家 万人计划 领军人才 入选者(2020
  • 国家 四青人才 高层次专家 入选者(2014
  • 美国 科睿唯安 全球高被引学者 入选者(2023
  • 科技部 创新人才推进计划 中青年科技创新领军人才 入选者(2019
  • 科技部 中国科学技术信息研究所 中国百篇最具影响国际学术论文榜单 入选者(2021
  • 浙江省 自然科学基金 杰出青年项目 获得者(2021
  • 浙江省 高层次人才引进计划 创新长期项目 入选者(2018
  • 浙江省 生物信息学学会自然科学奖 特等奖 获得者(排名第一,2023
  • 全球学者库 终身学术影响力 全球顶尖前十万科学家 入选者(连续三年,20212023
  • 美国 斯坦福大学 全球顶尖科学家年度榜单 入选者(连续四年,20202023
  • 国际 学术网站Research.com 全球顶尖科学家榜单 入选者(连续两年,20222023
  • 爱思唯尔出版社 GPB杂志 中国生物信息学十大进展 入选者(2023
  • 浙江大学 第十三届 十佳大学生 指导教师(李丰成,2023
  • 其他奖励和荣誉

  • 科技部 创新人才推进计划 重点领域创新团队 核心成员(2019
  • 重庆市 科学技术奖 科技进步一等奖 获得者(排名第四,2019
  • 九三学社 浙江省委 社会服务先进个人 获得者(2021
  • 浙江省 普通高等学校 优秀博士毕业生 指导教师(李丰成,2023
  • 浙江省 普通高等学校 优秀博士毕业生 指导教师(傅建波,2021
  • 浙江省 普通高等学校 优秀硕士毕业生 指导教师(洪嘉俊,2020
  • 浙江省 研究生 优秀教学案例 入选者(2024
  • 浙江省 专业学位研究生 优秀实践成果 指导教师(2024
  • 浙江省 挑战杯竞赛 三等奖 指导教师(2021
  • 约翰威立出版社 高被引论文奖 Wiley-TCPA 获得者(2020
  • 浙江大学 石华玉奖教金 一等奖 获得者(2021
  • 浙江大学 校级 奖教金 获得者(2021
  • 浙江大学 江芷生物制药奖 优秀指导教师 获得者(2020
  • 浙江大学 挑战杯竞赛 二等奖 指导教师(2021
  • 重庆大学 唐立新优秀科研教师奖 三等奖 获得者(2014
  • 浙江大学 药学院 年度十大科技进展 获得者(2022,2023
  • 浙江大学 药学院 年度先进工作者 获得者(2020
  • 浙江大学 药学院 年度先进工作者 获得者(2019
 教改项目资助(项目主持人、项目参与人等)
  • 202210月开始(项目主持人,省部级):教育部产学合作协同育人项目(2022-AliC-4-32
  • 202112月开始(项目主持人,省部级):浙江省普通高校十三五新形态教材建设项目(2021-135-33
  • 202101月开始(项目主持人,学校级):中央教育教学改革基金研究生新形态教材编撰项目(zyjyjx-grazju-49
  • 202006月开始(项目主持人,学校级):中央教育教学改革基金本科新形态教材编撰项目(068-484607
  • 202009月开始(项目参与人,学校级):浙江大学研究生课程思政项目(1913039
 科研项目资助(项目主持人、子课题主持、子课题骨干等)
    在研项目

  • 202401月开始(项目主持人,国家级):国家自然科学基金面上项目(82373790
  • 202301月开始(子课题主持,国家级):国家自然科学基金重点项目(22220102001
  • 202101月开始(项目主持人,省部级):浙江省自然科学基金杰出青年”项目(LR21H300001
  • 202010月开始(项目主持人,国家级):国家“万人计划领军人才项目(CWR-L-ZJU2020-ZF
  • 202001月开始(子课题主持,国家级):国家自然科学基金联合基金项目(U1909208
  • 结题项目

  • 201406月开始(项目主持人,国家级):国家四青人才项目(IRPC-Y-CQU2014-ZF
  • 201608月开始(子课题主持,国家级):国家重点研发计划精准医学重点专项(2016YFC0902200
  • 201809月开始(子课题骨干,国家级):国家重点研发计划精准医学重点专项(2018YFC0910500
  • 201901月开始(项目主持人,国家级):国家自然科学基金面上项目(81872798
  • 201301月开始(项目主持人,国家级):国家自然科学基金青年项目(81202459
  • 201512月开始(项目主持人,省部级):重庆市重大新药创制化药类主题专项(cstc2015zdcy-ztzx120003
  • 202001月开始(子课题主持,省部级):浙江省重点研发计划择优委托项目(2020C03010
  • 202105月开始(项目主持人,省部级):损伤防治药物全军重点实验室基金项目(181201*194232101
  • 201209月开始(项目主持人,省部级):重庆市自然科学基金面上项目(cstc2012jjA10116
  • 202102月开始(项目主持人,学校级):阿里巴巴-浙江大学未来数字医疗联合基金项目(ALIZJU202101
  • 201707月开始(项目主持人,学校级):浙江大学“百人计划”基金(ZJU2017070考评杰出
  • 201207月开始(项目主持人,学校级):重庆大学“百人计划”基金(0903005203176考评优秀
  • 201406月开始(项目主持人,学校级):中央高校基础科研跨学科重大项目CDJZR14 46 88 01结题优秀
  • 201301月开始(项目主持人,学校级):中央高校基础科研跨学科重点项目CQDXWL-2012-Z003结题优秀
  • 201801月开始(项目主持人,学校级):浙江大学青年科研创新专项基金(2018QNA7023
 已出版的教材和专著 ( front cover of the book)
  • 202301月(本科生教材,主编):《医药人工智能》  ISBN 978-7-308-23491-7,浙江大学出版社
  • 该教材/专著的特色:
    • 浙江省普通本科高校“十四五”重点教材

  • 202306月(药学专著,副主编):《人工智能与药物设计》  ISBN 978-7-122-42928-5,化学工业出版社
  • 该教材/专著的特色:
    • 国家出版基金(2023年度)资助项目

  • 202306月(本科生教材,编委):《药物设计学》  ISBN 978-7-04-059211-5,高等教育出版社
  • 该教材/专著的特色:
    • 工业和信息化部“十四五”规划教材
    • 高等学校“十四五”医学规划新形态教材
    • 普通高等教育“十一五”国家级规划教材

 已发表的核心代表性研究工作 (*corresponding author; published cover article; PDF version of paper)
  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: 17.021, 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:

  3. 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). accepted: GBIO-D-23-00628 (2024). PMID: XXXXXXXX.
  4. 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: 16.971, 生物一区 TOP 期刊). 48(D1): 1031-1041 (2020). PMID: 31691823.
  5. 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:

  6. 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 (impact factor of the publication year: 14.9, 生物二区 TOP 期刊). 52(D1): 1450-1464 (2024). PMID: 37850638.
  7. 封面论文:
    • The Cover Article of Nucleic Acids Res 2024 52(D1), Download the Cover .

  8. 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: 19.160, 生物一区 TOP 期刊). 51(D1): 1288-1299 (2023). PMID: 36243961.
  9. 封面论文:
    • The Cover Article of Nucleic Acids Res 2023 51(D1), Download the Cover .
    科技媒体及新闻报道:

  10. 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: 17.521, 工程技术一区 TOP 期刊). 10(15): e2207061 (2023). PMID: 36950745.
  11. 封面论文:

  12. 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: 11.622, 生物一区 TOP 期刊). 21(2): 649-662 (2020). PMID: 30689717.
  13. 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.

  14. 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: 11.622, 生物一区 TOP 期刊). 21(3): 1058-1068 (2020). PMID: 31157371.
  15. 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.

 已发表的重要代表性研究工作 (*corresponding author; published cover article; PDF version of paper)
  1. 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: 11.016, 综合一区 TOP 期刊). 6: 0240 (2023). PMID: 37771850.
  2. 科技媒体及新闻报道:

  3. 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). accepted: GBIO-D-23-00628 (2024). PMID: XXXXXXXX.
  4. 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: 19.160, 生物一区 TOP 期刊). 51(W1): 509-519 (2023). PMID: 37166951.
  5. 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: 19.160, 生物二区 TOP 期刊). 51(21): e110 (2023). PMID: 37889083.
  6. 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: 19.160, 生物二区 TOP 期刊). doi: 10.1093/nar/gkad751 (2024). PMID: 37713619.
  7. 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: 19.160, 生物二区 TOP 期刊). accepted: NAR-02369-Data-E-2023 (2024). PMID: 37831118.
  8. 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: 19.160, 生物二区 TOP 期刊). accepted: NAR-02063-Data-E-2023 (2024). PMID: 37850638.
  9. 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: 19.160, 生物二区 TOP 期刊). accepted: NAR-02157-Data-E-2023 (2024). PMID: 37819028.
  10. 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: 19.160, 生物二区 TOP 期刊). accepted: NAR-02109-Data-E-2023 (2024). PMID: 37819041.
  11. 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: 19.160, 生物二区 TOP 期刊). NAR-02756-Data-E-2023 (2023). PMID: 37930837.
  12. 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: 19.160, 生物二区 TOP 期刊). accepted: NAR-02385-Data-E-2023 (2024). PMID: 37855686.
  13. 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: 16.971, 生物一区 TOP 期刊). 48(W1): 436-448 (2020). PMID: 32324219.
  14. 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:

  15. 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: 19.160, 生物一区 TOP 期刊). 51(D1): 1263-1275 (2023). PMID: 36243960.
  16. 科技媒体及新闻报道:

  17. 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: 19.160, 生物一区 TOP 期刊). 50(D1): 1417-1431 (2022). PMID: 34747471.
  18. 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:

  19. 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: 19.160, 生物一区 TOP 期刊). 49(D1): 1233-1243 (2021). PMID: 33045737.
  20. 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:

  21. 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: 10.162, 生物一区 TOP 期刊). 45(W1): 162-170 (2017). PMID: 28525573.
  22. 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".

  23. 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: 11.561, 生物一区 TOP 期刊). 46(D1): 1121-1127 (2018). PMID: 29140520.
  24. 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".

  25. 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: 16.971, 生物一区 TOP 期刊). 48(D1): 1042-1050 (2020). PMID: 31495872.
  26. 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:

  27. 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: 19.160, 生物一区 TOP 期刊). 51(D1): 546-556 (2023). PMID: 36200814.
  28. 科技媒体及新闻报道:

  29. 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: 12.834, 工程技术一区 TOP 期刊). doi: 10.1016/j.eng.2023.01.014 (2023). PMID: XXXXXXXX.
  30. 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* , L. Tao*. 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). doi: accepted: BIB-23-2257 (2024). PMID: XXXXXXXX.
  31. 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: 13.994, 生物二区 TOP 期刊). 24(3): bbad104 (2023). PMID: 36941114.
  32. 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: 13.994, 生物一区 TOP 期刊). 23(6): bbac411 (2022). PMID: 36198065.
  33. 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: 11.622, 生物一区 TOP 期刊). 21(5): 1825-1836 (2020). PMID: 31860715.
  34. 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.

  35. 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: 11.622, 生物一区 TOP 期刊). 21(4): 1437-1447 (2020). PMID: 31504150.
  36. 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.

  37. 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: 11.622, 生物一区 TOP 期刊). 21(2): 621-636 (2020). PMID: 30649171.
  38. 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.

  39. 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: 13.994, 生物一区 TOP 期刊). 23(2): bbac040 (2022). PMID: 35183059.
  40. 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.

  41. 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: 13.994, 生物一区 TOP 期刊). 23(4): bbac253 (2022). PMID: 35758241
  42. 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: 11.622, 生物一区 TOP 期刊). 21(6): 2142-2152 (2020). PMID: 31776543.
  43. 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.

  44. 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: 13.994, 生物一区 TOP 期刊). 23(1): bbab397 (2022). PMID: 34585235.
  45. 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.

  46. S. Zhang, F. Zhu*. Comment on microRNA mimics or inhibitors as antiviral therapeutic approaches against COVID-19. Drugs (当年影响因子: 11.431, 医学二区 TOP 期刊). 81(14): 1691-1692 (2021). PMID: 34453690.
  47. 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). accepted: ac-2023-03212v (2024). PMID: XXXXXXXX.
  48. 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: 8.008, 化学一区 TOP 期刊). 95(13): 5542-5552 (2023). PMID: 36944135.
  49. 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: 7.730, 医学二区 TOP 期刊). 177(21): 4999-5001 (2020). PMID: 32845521.
  50. 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: 7.035, 医学一区 TOP 期刊). 25(9): 1054-1063 (2019). PMID: 31350824.
  51. 封面论文:
    • The Cover Article of CNS Neurosci Ther 2019 25(9), Download the Cover .

  52. 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: 7.035, 医学一区 TOP 期刊). 24(12): 1253-1263 (2018). PMID: 30106219.
  53. 奖励与荣誉:
    • Wiley Top Cited Paper Award (2020).
    封面论文:
    • The Cover Article of CNS Neurosci Ther 2018 24(12), Download the Cover .

  54. 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: 6.698, 工程技术二区期刊). 145: 105465 (2022). PMID: 35366467
  55. 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.

  56. 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: 6.931, 生物二区 TOP 期刊). 39(7): btad421 (2023). PMID: 37399102.
  57. 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: 6.931, 生物二区 TOP 期刊). accepted: BIOINF-2023-1043 (2023). PMID: XXXXXXXX.
  58. 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: 6.162, 化学二区期刊). 62(23): 5875–5895 (2022). PMID: 36378082.
  59. 封面论文:
    • The Cover Article of J Chem Inf Model 2022 62(23), Download the Cover .

  60. 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: 6.150, 医学一区 TOP 期刊). 42(8): 1354-1367 (2021). PMID: 33122823.
  61. 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: 5.236, 生物二区 TOP 期刊). 18(8): 1683-1699 (2019). PMID: 31097671.
  62. 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.

  63. 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: 5.067, 生物二区 TOP 期刊). 432(11): 3411-3421 (2020). PMID: 32044343.
  64. 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.

  65. 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: 4.211, 化学二区 TOP 期刊). 10(5): 2467-2480 (2019). PMID: 30784262.
  66. 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:
    • The Cover Article of ACS Chem Neurosci 2019 10(5), Download the Cover .

  67. 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: 4.211, 化学二区 TOP 期刊). 9(5): 1128-1140 (2018). PMID: 29300091.
  68. 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.

  69. 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: 5.780, 医学二区期刊). 13(3): 340-351 (2022). PMID: 35041375.
  70. 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.

  71. 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: 4.123, 化学二区 TOP 期刊). 20(37): 23873-23884 (2018). PMID: 29947629.
  72. 封底论文:

  73. 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: 4.044, 生物二区期刊). 232: 104023 (2021). PMID: 33130111.
  74. 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.

 已获批专利与著作权
  1. F. Zhu, X. N. Sun, S. Zhang, M. J. Mou, et al. 软件著作权 2023SR0736962, 中华人民共和国国家版权局.
    A Software Tool for Metabolite and Protein Regulatory Network Analysis (2023)
  2. F. Zhu, M. J. Mou, X. N. Sun, C. Y. Zhang. 软件著作权 2023SR0682069, 中华人民共和国国家版权局.
    A Software Tool for Analyzing Biological Activities of Drug Inactive Ingredients (2023)
  3. F. Zhu, X. N. Sun, Y. T. Zhang, H. Y. Li, Y. Zhou. 软件著作权 2023SR0682068, 中华人民共和国国家版权局.
    A Software Tool for Comprehensive Drug Resistance Analysis (2023)
  4. F. Zhu, F. C. Li, H. C. Sun, J. Y. Yin. 软件著作权 2022SR1374536, 中华人民共和国国家版权局.
    A Software Tool for Metabolomics-based Quantitative Analysis of Large-scale and Long-term Microbiota Study (2022)
  5. F. Zhu, J. Y. Yin, F. C. Li, Y. Zhou, M. J. Mou, Y. J. Lu. 软件著作权 2022SR1374538, 中华人民共和国国家版权局.
    A Software Tool for Interaction Analysis of Drug-metabolizing Enzyme Intergroup (2022)
  6. F. Zhu, F. C. Li, J. Y. Yin, M. K. Lu, M. J. Mou. 软件著作权 2022SR1374548, 中华人民共和国国家版权局.
    A Software Tool for Molecular Profiling of Drug Interactions (2022)
  7. F. Zhu, F. C. Li, J. Y. Yin, M. K. Lu, Q. X. Yang. 软件著作权 2022SR1374537, 中华人民共和国国家版权局.
    A Software Tool for Stable Identification of Molecular Features based on OMICS Data (2022)
  8. F. Zhu, F. C. Li, J. Y. Yin, Y. Zhou, Y. Zhang. 软件著作权 2022SR1374547, 中华人民共和国国家版权局.
    A Software Tool for High Precision Identification of Biomarkers Based on Proteomics Technology (2022)
  9. F. Zhu, M. J. Mou, J. Tang, X. N. Sun. 软件著作权 2022SR1096571, 中华人民共和国国家版权局.
    A Software Tool for Analyzing Host Regulatory Factors of Human Microbiota (2022)
  10. F. Zhu, M. J. Mou, J. Tang, Y. X. Wang, et al. 软件著作权 2021SR0027303, 中华人民共和国国家版权局.
    A Software Tool for Selecting Metaproteomic Features Based on Performance Assessment (2021)
  11. F. Zhu, J. Y. Yin, F. C. Li, X. X. Li, et al. 软件著作权 2021SR0822567, 中华人民共和国国家版权局.
    A Software Tool for Constructing Phylogenetic Tree Describing the Homology among Drug Transporters (2021)
  12. F. Zhu, F. C. Li, Y. Zhou, X. Y. Zhang. 软件著作权 2021SR0826823, 中华人民共和国国家版权局.
    A Software Tool for Determining Sample Sufficiency for Comparative Biological Study (2021)
  13. F. Zhu, S. Zeng, J. Y. Yin, F. C. Li. 软件著作权 2020SR0275172, 中华人民共和国国家版权局.
    A Software Tool for Analyzing the Interplay among the Variabilities of Drug Transporters (2020)
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    A Software Tool for Integrating the Epigenetics with the Protein-Protein Interactions of Drug Target (2020)
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    A Software Tool for Strictly Validating the Primary Drug Target and Conducting Network Analysis (2020)
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    A Software Tool for Strictly Identifying the Primary Therapeutic Target of the Drugs in Clinical Trial (2020)
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    A Software Tool for Discovering the Bacterial Type-IV Secreting System Effector Protein (2019)
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    A Software Tool for Assessing Label-free Proteome Quantification from Multiple Perspectives (2019)
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    A Software Tool for Discovering the Novel Drug Scaffold Based on Biomarker Identification (2019)
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    A Software Tool for Identifying the Tissue-Specific Distribution Pattern of Therapeutic Target (2018)
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    A Software Tool for Evaluating Mass-spectrometry-based Metabolomic Data from Multiple Perspectives (2017)
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    A Software Tool for Associating the Disease-Relevant Signaling Pathway with Therapeutic Target (2016)
 承办或(参与)组织的学术会议暨国际/国内学术会议任职情况
 国际/国内学术会议邀请报告(大会主题报告、邀请报告等)
 杂志评审(十二本代表性杂志)
Nucleic Acids Res (IF = 19.160); Med Res Rev (IF = 12.944); Br J Pharmacol (IF = 8.739);
Nat Protoc (IF = 17.021); Brief Bioinform (IF = 13.994); Bioinformatics (IF = 6.931);
Proc Natl Acad Sci U S A (IF = 12.779); Anal Chem (IF = 8.008); Mol Pharmaceut (IF = 5.364);
J Med Chem (IF = 8.039); Pharmacol Res (IF = 10.334); J Chem Inf Model (IF = 6.162)


题组成员
教师
薛伟伟 化学信息学

2014.09-now

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201609至今:重庆大学 药学院 副教授

201406 201609月:重庆大学 创新药物研究中心 专任教师

200909 201406月:兰州大学 化学化工学院 硕士博士(硕博连读)

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国家大学生创新性实验计划(国创)和大学生科研训练计划(SRTP)

陈康丽 药学

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