北京中医药大学 医学博士（1998.9－2001.7）
皖南医学院 医学硕士（继承家族医学-国家非物质文化遗产）（1995.9－1998.7）
北京中医药大学 医学学士（1990.9－1995.7）
Sep.1998-Jul.2001 Beijing University of Chinese Medicine, M.D.
Sep.1995-Jul.1998 Wannan College of Medicine, M.S.
Sep.1990-Jul.1995 Beijing University of Chinese Medicine, B.S.
清华大学 北京市中医药交叉研究所所长（2020.12至今）
清华大学 教授 （2009.12至今）
清华大学 博士生导师 （2008.9至今）
清华信息科技国家实验室（筹）生物信息学研究部 副主任 （2006.2至今）
清华大学自动化系、生物信息学教育部重点实验室 副研究员 （2004.12－2009.11）
清华大学自动化系、生物信息学教育部重点实验室 讲师 （2003.8－2004.12）
清华大学自动化系、生物信息学教育部重点实验室 博士后 （2001.9－2003.8）
Dec. 2020 - Present: Director, Institute of TCM-X, Beijing, Tsinghua University
Dec. 2009 - Present: Full Professor, Tsinghua University
Oct. 2008 - Present: PhD Candidate Supervisor, Tsinghua University
Sep. 2017 - Present: Director, TCM-X Center, TNList (Tsinghua National Lab for Information Science & Technology)
Feb. 2006 - Present: Deputy Director, Bioinformatics Division, TNList (Tsinghua National Lab for Information Science & Technology)
Dec. 2004 - Nov. 2009: Associate Professor, MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University
Sep. 2003 - Nov. 2004: Assistant Professor, MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University
Sep. 2001 - Jul. 2003: Postdoctoral Research Fellow, MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University
世界中医药学会联合会网络药理学专业委员会 会长
中国生物工程学会生物医药大数据专委会 主任委员
中国药理学会网络药理学专业委员会 副主任委员
中国研究型医院学会 生物标志物专业委员会 副主任委员
中华中医药学会 中医药防治重大疾病基础研究平台专家委员会 副主任委员
Standing Committee Member, the World Federation of Chinese Medicine Societies
Chairman, World Federation of Chinese Medicine Societies Network Pharmacology Professional Committee
Chairman, Biomedical Big Data Professional Committee of Chinese Society of Bioengineering
Vice Chairman, Chinese Pharmacological Society, Network Pharmacology Professional Committee
Vice Chairman, Chinese Research Hospital Association Biomarker Professional Committee
Vice Chairman, Chinese Association of TCM Expert Committee, the Basic Research Platform for the Prevention and Treatment of Major Diseases with Traditional Chinese Medicine
Cancer Biology & Medicine、European Journal of Integrative Medicine、Evidence-based Complementary and Alternative Medicine、Chinese Medicine、Scientific Reports 等刊物 编委
Editorial Board Member: Cancer Biology & Medicine、European Journal of Integrative Medicine、Evidence-based Complementary and Alternative Medicine、Chinese Medicine、Scientific Reports
肿瘤等复杂疾病的生物网络与中西医精准防治
中医药网络药理学的理论、方法与应用
Network Pharmacology and Bioinformatics, with applications in inflammation, cancer and traditional medicine
当前“单基因、单靶标、单药物”还原式医药研究模式既难以适应肿瘤等复杂疾病防治的重大需求，也难以揭示以整体为特色的中医药的生物基础。本课题组主要从事生物信息学与中医药现代化研究，开辟中医药网络药理学新方向，致力于利用大数据、人工智能等方法，从生物网络的角度探索生命的本质规律，以生物网络为靶标建立胃癌等重大疾病的中西医智慧与精准防治新模式，同时数字化、精准化、智能化解决中医药传承与创新难题。
Traditional Chinese Medicine (TCM) is characterized by its holistic thinking in treating a patient as an imbalanced system, and the use of various herbal formulae in restoring the balance of human body. The holistic philosophy and patient-tailored treatment of TCM shares a lot with the key idea of current systems biology and precision medicine. However, it is very challenging to unveil the biological basis of TCM by current reductionist "one target, one drug" approach due to the complexity of both the chemical compositions of herb formula and the biological systems of patients. In the big data era, we devoted to create a novel“network target, multicomponent therapeutics”approach to offer bright prospects in understanding TCM from a systems perspective, narrow the gap between Eastern and Western medical practices, and help achieve the TCM-based precision medicine. The effectiveness of the "network target" approach has been demonstrated by follow-up clinical and experimental investigations on the prevention of gastric cancer and the R&D of herbal medicine.
英国皇家化学会会士 (2022)
英国皇家生物学会会士（2022)
国家“万人计划”科技创新领军人才（2019）
国家杰出青年科学基金（2012）
科技部中青年科技创新领军人才（2018）
中医药国际贡献奖一等奖（2020）
李时珍医药创新奖（2019）
国家教学成果二等奖（2009）
国家科技进步二等奖（2004）
全国优秀博士学位论文（2003）
全球前2%顶尖科学家（2019/2020/2021）
中国高被引学者（Elsevier, 2020/2021）
中国全面小康十大杰出贡献人物（2020）
2021年度中医药十大学术进展
2019年度中国生物信息学十大应用
2014年度世界中医药十大新闻
大挑战2015-青年科学家（美国盖茨基金会、中国科技部联合颁发）（2015）
中华中医药学会中青年创新人才（2018）
茅以升北京青年科技奖（2009）
教育部新世纪优秀人才支持计划（2007）
清华大学杰出博士后校友（2021）
清华大学先进工作者（2008）
Fellow of the Royal Society of Chemistry (2022)
Fellow of the Royal Society of Biology (2022)
International Award for Contribution to Chinese Medicine (the 1st Prize, 2020)
Ten Outstanding Contributors to Chinese Moderately Prosperous Society in All Respects (2020)
World's Top 2% Scientists (2019/2020/2021, Stanford University)
Highly Cited Chinese Researchers (2020/2021, Elsevier)
Li Shizhen Pharmaceutical Innovation Award. China Association of Chinese Medicine (2019)
Leading talents in science and technological innovation, National "Ten-Thousand talents" Program (2019)
Young and middle-aged leading talents in science and technology innovation, Ministry of Science and Technology (2018)
National Science Fund for Distinguished Young Scholars, National Natural Science Foundation of China (2012)
National Education Award, Ministry of Education (the 2nd Class) (2009)
National Science & Technology Award, China (the 2nd Class) (2004)
National Excellent Doctoral Dissertation, China (2003)
Grand Challenges 2015—Young Scientists (Ministry of Science & Technology, Bill & Melinda Gates Foundation, 2015)
Top 1% highly cited Chinese authors in Royal Society of Chemistry journals in 2015 (2016)
Mao Yi-Sheng Science and Technology Award for Beijing Youth (2009)
Beijing Teaching Achievement Award (the 1st Class) (2008)
New Century Excellent Talents in University, MOE (2007)
Excellent Postdoc Fellow of Tsinghua University (2004)
主要论文（*：通讯作者）
SELECTED PUBLICATIONS (*: Corresponding author)
1.Hou S, Zhang P, Yang K, Wang L, Ma C, Li Y, Li S*. Decoding multilevel relationships with the human tissue-cell-molecule network. Briefings in Bioinformatics 2022; bbac170
2.Zhang Y, Chen L, Li S*. CIPHER-SC: Disease-Gene Association Inference Using Graph Convolution on a Context-Aware Network with Single-Cell Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2022;19(2):819-829.
3.Li S*. Network Pharmacology Evaluation Method Guidance - Draft. World Journal of Traditional Chinese Medicine 2021;7(1):146-154.
4.Zhou W, Yang K, Zeng J, Lai X, Wang X, Ji C, Li Y, Zhang P, Li S*. FordNet: recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule. Pharmacological Research 2021:105752 (Best Research Articles Published in the Journal in 2020/2021)
5.Zhou W, Lai X, Wang X, Yao X, Wang W, Li S*. Network pharmacology to explore the anti-inflammatory mechanism of Xuebijing in the treatment of sepsis. Phytomedicine 2021;85:153543
6.Sun J, Wang X, Xu R, Mao D, Shen D, Wang X, Qiu Y, Han Y, Lu X, Li Y, Che Q, Zheng L, Peng P, Kang X, Zhu R, Jia Y, Wang Y, Liu L, Chang Z, Ji J, Wang Z, Liu Q, Li S*, Sun F*, Ni J*. HP1c regulates development and gut homeostasis by suppressing Notch signaling through Su(H). EMBO Reports 2021;22(4):e51298
7.Yuan Z, Zhou Q, Cai L, Pan L, Sun W, Qumu S, Yu S, Feng J, Zhao H, Zheng Y, Shi M, Li S, Chen Y*, Zhang XR*, Zhang MQ*. SEAM: a Spatial single nuclEar metAboloMics method for dissecting tissue microenvironment. Nature Methods 2021; 18(10):1223-1232
8.Guo J*, Zhang P, Zhou L, You L, Liu Q, Zhang Z, Sun B, Liang Z, Lu J, Yuan D, Tan A, Sun J, Liao Q, Dai M, Xiao G, Li S*, Zhang T*. Prognostic and predictive value of a five-molecule panel in resected pancreatic ductal adenocarcinoma: A multicenter study. EBioMedicine 2020; 55: 102767
9.Ding Q, Hou S, Zu S, Zhang Y, Li S*. VISAR: an interactive tool for dissecting chemical features learned by deep neural network QSAR models. Bioinformatics 2020;36(11):3610-3612.
10.Zhang P, Yang M, Zhang Y, Xiao S, Tai X, Tan A, Du S, Li S*. Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer. Cell Reports 2019; 27,1934-1947（F1000 "Exceptional" paper）
11.Guo Y, Bao C, Ma D, Cao Y, Li Y, Xie Z*, Li S*. Network-based combinatorial CRISPR-Cas9 screens identify synergistic modules in human cells. ACS Synthetic Biology 2019;8:482-490 (Cover)
12.Cui J, Cui H, Yang M, Du S, Li J, Li Y, Liu L, Zhang X*, Li S*. Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade. Protein & Cell 2019;10: 496-509
13.Tan A, Huang H, Zhang P, Li S*. Network-based cancer precision medicine: a new emerging paradigm. Cancer Letters 2019; 458;39-45.
14.Liao S, Han L, Zheng X, Wang X, Zhang P, Wu J, Liu R, Fu Y, Sun J, Kang X, Wang S, Liu K, Fan TP*, Li S*, Zheng X*. Tanshinol borneol ester, a novel synthetic small molecule angiogenesis stimulator inspired by botanical formulations for angina pectoris. British Journal of Pharmacology 2019;176:3143–3160.
15.Zheng J, Wu M, Wang H, Li SS, Wang X, Li Y, Wang D, Li S*. Network pharmacology to unveil the biological basis of health strengthening herb medicine in cancer treatment. Cancers 2018;10(11):461:1-23
16.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
17.Qi Q, Li R, Li H, Cao Y, Bai M, Fan X, Wang S, Zhang B*, Li S*. Identification of the anti-tumor activity and mechanisms of nuciferine through a network pharmacology approach. Acta Pharmacologica Sinica 2016;37:963-972
18.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)
19.Zu S, Chen T, Li S*. Global optimization-based inference of chemogenomic features from drug-target interactions. Bioinformatics 2015;31(15):2523-2529
20.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)
21.Li S*, Zhang B. Traditional Chinese medicine network pharmacology: theory, methodology and application. Chinese Journal of Natural Medicines 2013;11(2):110-120
22.Zhao S, Li S*. A co-module approach for elucidating drug-disease associations and revealing their molecular basis. Bioinformatics 2012;28(7):955-961
23.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
24.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 (Faculty of 1000 "Must Read" paper)
25.李梢. 网络靶标：中药方剂网络药理学研究的一个切入点.中国中药杂志 2011;36:2017-2020（领跑者5000论文）
26.Li S*, Zhang B, Jiang D, Wei YY, Zhang NB. Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae. BMC Bioinformatics 2010;11(S11):S6
27.Zhao S, Li S*. Network-based relating pharmacological and genomic spaces for drug target identification. PLoS ONE 2010;5(7):e11764 （Highlighted by Nature China）
28.Ma T, Tan C, Zhang H, Wang M, Ding W, Li S*. Bridging the gap between traditional Chinese medicine and systems biology: the connection of Cold Syndrome and NEI network. Molecular BioSystems 2010;6:613-619
29.Wu X, Jiang R, Zhang MQ, Li S*. Network-based global inference of human disease genes. Molecular Systems Biology 2008;4:189, pages:1-11 （Highlighted by 2009 American Medical Informatics Association Summit on Translational Bioinformatics, and Highlight Track in ISMB 2009）
30.Zhang J, Ma T, Li YD, Li S*. dbNEI2.0: building multilayer network for drug-NEI-disease. Bioinformatics 2008;24:2409-2411
31.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
32.李梢. 基于生物网络调控的方剂研究模式与实践. 中西医结合学报 2007;5(5):1-5
33.Li S*, Wu LJ, Zhang ZQ. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach. Bioinformatics 2006;22:2143-2150
34.Li S*, Lu A, Li B, Wang Y. Circadian rhythms on hypothalamic-pituitary-adrenal axis hormones and cytokines of collagen induced arthritis in rats. Journal of Autoimmunity 2004;22(4):277-285
35.李梢,王永炎,季梁,李衍达. 复杂系统意义下的中医药学及其案例研究. 系统仿真学报 2002;14(11):1429-1432
学术专著：
李梢（主编）.网络药理学.清华大学出版社 2022
Li S (editor). Network Pharmacology. Springer Press, Tsinghua University Press 2021
