Lid
Lab
Laboratory of Biological Networks


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李栋 (Dong Li)

北京蛋白质组研究中心研究员、博士生导师

Professor, Beijing Proteome Research Center

生物大数据研究室主任

生物学网络课题组组长

Proteomics 期刊编委

北京市优秀青年人才

北京市青年拔尖人才

Email: lidong.bprc {at} foxmail.com 

电话:+86-10-6177-7057

教育经历

  • 博士 (2006 北京大学化学与分子工程学院化学专业)

  • 学士 (2001 北京大学化学与分子工程学院物理化学专业)

研究方向

主要从事蛋白质组生物信息学研究,致力于从生物医学大数据中进行知识的发现。承担国家精准医学、国家国际科技合作专项和国家自然科学基金等各类项目9项,首次整合多生物学证据进行高通量蛋白质相互作用数据的可靠性分析;建立国际上首个基于蛋白质网络预测信号通路的生物信息算法系统;首次揭示蛋白质相互作用网络拓扑上的“保守直径”现象和为进化上的“蛋白质成簇添加”现象提供模体层次的证据; 建立大规模组学数据可视化和分析软件平台,为国内外提供数据分析服务25000多次;对最大规模组织层次蛋白质网络——肝脏蛋白质相互作用网络进行研究。在Nature Communications, Molecular&Cellular Proteomics, Molecular Systems Biology和J Proteome Res等期刊发表第一/通讯作者(含并列)署名SCI论文21篇,累计影响因子123,获国家科技进步创新团队奖等国家和省部级奖励5次,获软件著作权28项。


军事医学研究院招生方向(2020年):

博士生:Z710Z1, 生物信息学,生物大数据信息整合与知识发现

硕士生:

专业一: Z710Z1, 生物信息学, 生物组学大数据的整合与分析

专业二: 1001Z2, 医学蛋白质组学,临床生命组学数据的信息整合与知识发现


代表性论文

  1. Yang Li#, Ping Xie#, Liang Lu#, Jian Wang, Lihong Diao, Zhongyang Liu, Feifei Guo, Yangzhige He, Yuan Liu, Qin Huang, Han Liang, Dong Li* & Fuchu He*. An integrated bioinformatics platform for investigating the human E3 ubiquitin ligase-substrate interaction network. Nature Communications, 2017, 8: 347 

  2. Dong Li, Wanlin Liu, Zhongyang Liu, Jian Wang, Yunping Zhu, Fuchu He, PRINCESS: a PRotein INteraction Confidence Evaluation System with multiple data Sources. Molecular & Cellular Proteomics, 2008, Jun 7: 1043-1052.

  3. Liu Z, Guo F, Zhang J, Wang J, Lu L, Li D*, He F*. Proteome-wide prediction of self-interacting proteins based on multiple properties. Mol Cell Proteomics. 2013 Jun;12(6):1689-700.

  4. Liu W*, Li D*, Wang J, Xie H,Zhu Y, He F, Proteome-wide prediction of signal flow direction in protein interaction network based on interacting domains. Molecular & Cellular Proteomics, 2009, Sep;8(9):2063-70.

  5. Guo F, Wang D, Liu Z, Lu L, Zhang W, Sun H, Zhang H, Ma J, Wu S, Li N, Jiang Y, Zhu W, Qin J, Xu P, Li D*, He F*. CAPER: a Chromosome-Assembled human Proteome browsER. J Proteome Res. 2013 Jan 4;12(1):179-86.

  6. Wang, Dan; Liu, Zhongyang; Guo, Feifei; Diao, Lihong; Li, Yang; Zhang, Xinlei; Huang, Zechi; Li, Dong*; He, Fuchu*, CAPER2.0: an interactive, configurable and extensible workflow-based platform to analyze datasets from the Chromosome-centric Human Proteome Project, J Proteome Res, 2014,  13: 99-106.

  7. Shuai Yang , Xinlei Zhang , Hongli Diao , Feifei Guo , Dan Wang , Zhongyang Liu , Honglei Li , Junjie Zheng , Jingshan Pan , Edouard C. Nice , Dong Li* , and Fuchu He*. CAPER 3.0: a scalable cloud-based system for data-intensive analysis of Chromosome-centric Human Proteome Project datasets. J. Proteome Res., 2015, 14: 3720-8.

  8. Jian Wang*, Keke Huo*, Lixin Ma*, Liujun Tang*, Dong Li*, et al., Toward an understanding of the protein interaction network of the human liver. Molecular Systems Biology, 2011 7: 536.

  9. Li D, Li J, Ouyang S, Wang J, et al.,  Protein Interaction Networks of Saccharomyces cerevisiae, Caenorhabditis elegans andDrosophila melanogaster: Large-Scale Organization and Robustness, Proteomics, 2006, Jan, 6:456-461.

  10. LI Dong, LI Jian-Qi, OUYANG Shu-Guang, WANG Jian, et al., An Integrated Strategy for Functional Analysis in Large-scale Proteomic Research by Gene Ontology, Progress in Biochemistry and Biophysics, 2005, 32: 1026 - 1029.

  11. Zhongyang Liu, Feifei Guo, Jiangyong Gu, Yong Wang, Yang Li, Dan Wang, Liang Lu, Dong Li*, and Fuchu He*. Similarity-based prediction for Anatomical Therapeutic Chemical classification of drugs by integrating multiple data sources, Bioinformatics,2015,31:1788-95.

  12. Liu Z, Liu Q, Sun H, Hou L, Guo H, Zhu Y, Li D*, He F*. Evidence for the additions of clustered interacting nodes during the evolution of protein interaction networks from network motifs. BMC Evol Biol. 2011; May, 11(1):133.

  13. Sun H *, Li D*, Wang J, Liu Z, Xie H, Zhu Y, He F, PNmerger: a Cytoscape plugin to merge biological pathways and protein interaction networks. Prog Biochem Biophys, 2009, 36: 1613-1616.

  14. Wanlin Liu*, Dong Li*, Qijun Liu, Yunping Zhu and Fuchu He, A novel parametric approach to mine gene regulatory relationship from microarray datasets, BMC bioinformatics, 2010, 11: S15.