个人简历:  

1995年            获北京中医药大学医学学士学位

1998年            获皖南医学院医学硕士学位

2001年            获北京中医药大学医学博士学位

2001.9－2009.11    清华大学 博士后、讲师、副研究员

2009至今           清华大学 教授

主要科研领域及方向:         

代表论文:     

Zhang B, Wang X, Li Y, Wu M, Wang S, Li S*. Matrine is identified as a novel macropinocytosis inducer by a network target approach. Frontiers in Pharmacology 2018;9;10:1-11 

Guo Y, Nie Q, MacLean A, Li Y, Lei J*, Li S*. Multiscale modeling of inflammation-induced tumorigenesis reveals competing oncogenic and onco-protective roles for inflammation. Cancer Research 2017;77(22):6429-6441

Li S*. Mapping ancient remedies: applying a network approach to traditional Chinese medicine. Science 2015;350(6262 Supplement):S72-S74 (传统医学增刊)

Zu S, Chen T, Li S*. Global optimization-based inference of chemogenomic features from drug-target interactions. Bioinformatics 2015;31(15):2523-2529

Liang X, Li H, Li S*. A novel network pharmacology approach to analyse traditional herbal formulae: the Liu-wei-di-huang Pill as a case study. Molecular BioSystems 2014,10(5):1014-1022 (Cover)

Zhao S, Li S*. A co-module approach for elucidating drug-disease associations and revealing their molecular basis. Bioinformatics 2012;28(7):955-961

Chen Y, Gu J, Li D, Li S*. Time-course network analysis reveals TNF-alpha can promote G1/S transition of cell cycle in vascular endothelial cells. Bioinformatics 2012;28(1):1-4

Li S*, Zhang B, Zhang NB. Network target for screening synergistic drug combinations with application to traditional Chinese medicine. BMC Systems Biology 2011;5(S1):S10

Zhao S, Li S*. Network-based relating pharmacological and genomic spaces for drug target identification. PLoS ONE 2010;5(7):e11764

Wu X, Jiang R, Zhang MQ, Li S*. Network-based global inference of human disease genes. Molecular Systems Biology 2008;4:189

Li S*, Zhang Z, Wu L, Zhang X, Li Y, Wang Y. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network. IET Systems Biology 2007;1(1):51-60

Li S*, Wu LJ, Zhang ZQ. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach. Bioinformatics 2006;22:2143-2150

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