Shao LI,  M.D., Ph.D.

Professor

Deputy Director, Bioinformatics Division, TNLIST

Department of Automation, Tsinghua University,  Beijing 100084, China

Tel: +86 (10) 6279 7035

Email: shaoli@tsinghua.edu.cn

 Education

Sep. 1998 ~ Jul. 2001,  Beijing University of Traditional Chinese Medicine, M.D., Ph.D.

Sep. 1995 ~ Jul. 1998,  Wannan College of Medicine, M.S.

Sep. 1990 ~ Jul. 1995,  Beijing University of Traditional Chinese Medicine, B.S.

  Working Experience

2009 ~ Present,  Full Professor, Tsinghua University

Oct. 2008 ~ Present,   Ph.D. Candidate Supervisor, Tsinghua University

Feb. 2006 ~ Present,  Deputy Director, Bioinformatics Division, TNList (Tsinghua National Lab for Informatics Science & Technology)

Dec. 2004 ~ Nov. 2009,  Associate Professor, MOE Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University

Sep. 2003 ~ Nov. 2004,  Assistant Professor, MOE Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University

Sep. 2001 ~ Jul. 2003,  Postdoctoral Research Fellow, MOE Key Laboratory of Bioinformatics, Department of Automation, Tsinghua University

  Expertise and Research Interests

Bioinformatics, Network pharmacology, and big data analysis in cancer and traditional Chinese medicine

  Academic/Social Activities and Memberships

Chairman, Specialty Committee of Network Pharmacology, World Federation of Chinese Medicine Societies
Vice chairman, Specialty Committee of Network Pharmacology, Chinese Pharmacological Society
Vice chairman, Specialty Committee of Dose-response Relationship Study of Chinese Prescription, World Federation of Chinese Medicine Societies
Editorial Board Member, Scientific Reports (Nature Publishing Group)

   Grants and Contracts / Research Projects

1. NSFC Key Project (2010~2013): System modeling and regulatory mechanism of disease-oriented biomolecular networks (PI: Shao Li)

2. NSFC Project (2009~2011): Angiogenesis network-based study for the multi-target synergistic effect of herbal formula (PI: Shao Li)

3. NSFC Project (2007~2009): Multilayer network analysis and clinical investigation for Cold/Hot ZHENG (TCM Syndrome) (PI: Shao Li)

4. National Key Technology Support Program, China (2006~2009): Computational systems biology approaches for studying ZHENG (TCM Syndrome) (PI: Shao Li)

5. National 863 Hi-tech research and development program of China (2006~2008): Construction and analysis for disease-oriented biological networks (PI: Shao Li)

6. Key Project of Ministry of Education, China (2004~2006): Modeling the cytokine network associated with the immunomodulatory effects of Chinese herbs (PI: Shao Li)

7. Foundation for the Author of National Excellent Doctoral Dissertation of China (2004~2008): Combination of Chinese herbal components and its synergistic effect on anti-angiogenesis (PI: Shao Li)

8. NSFC Key Project (2003~2006): Genome informatics for the Cold/Hot ZHENG (TCM Syndrome) in patients with rheumatoid arthritis (PI: Aiping Lu & Shao Li)

9. NSFC Project (2003~2005): Understanding biological mechanisms of the Cold/Hot ZHENG (TCM Syndrome) in the context of the neuro-endocrine-immune network (PI: Shao Li)

   Honors and Awards

National Outstanding Young Scientist Award, NSFC (2012)

Grand Challenges 2015—Young Scientists (Bill & Melinda Gates Foundation & China Ministry of Science and Technology)

National Education Award, China (the 2nd Class) (2009)

Mao Yi-Sheng Science and Technology Award for Beijing Youth (2009)

New Century Excellent Talents in University, China (2007)

National Science & Technology Award, China (the 2nd Class) (2004)

Excellent Postdoc Fellow of Tsinghua University (2004)

National Excellent Doctoral Dissertation, China (2003)

 

Academic Achievement

SELECTED RECENT PUBLICATIONS (*: Corresponding author):

 

1.      Li S*. Exploring traditional Chinese medicine by a novel therapeutic concept of network target. Chinese Journal of Integrative Medicine 2016;22(9):647-652 (Feature Article)

2.      Zhang Y, Mao X, Guo Q, Bai M, Zhang B, Liu C, Sun Y, Li S*, Lin N*. Pathway of PPAR-gamma coactivators in thermogenesis: a pivotal traditional Chinese medicine-associated target for individualized treatment of rheumatoid arthritis. Oncotarget 2016;7(13): 15885-15900

3.      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

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

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

6.      Wu M, Lu P, Shi L*, Li S*. Traditional Chinese patent medicines for cancer treatment in China: a nationwide medical insurance data analysis. Oncotarget 2015;6(35):38283-38295

7.      Zhang B, Lu C, Bai M, He X, Tan Y, Bian Y, Xiao C, Zhang G, Lu A*, Li S*. Tetramethylpyrazine identified by a network pharmacology approach ameliorates methotrexate-induced oxidative organ injury. Journal of Ethnopharmacology 2015;175:638-647

8.      Zhang Y, Bai M, Zhang B, Liu C, Guo Q, Sun Y, Wang D, Wang C, Jiang Y, Lin N*, Li S*. Uncovering pharmacological mechanisms of Wu-tou decoction acting on rheumatoid arthritis through systems approaches: drug-target prediction, network analysis and experimental validation. Scientific Reports 2015; 5: 9463

9.      Li Y, Li R, Ouyang Z, Li S*. Herb network analysis for a famous TCM doctor’s prescriptions on treatment of rheumatoid arthritis. Evidence-Based Complementary and Alternative Medicine 2015: 451319

10.   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)

11.   Wang L, Wang Y, Hu Q, Li S*. Systematic analysis of new drug indications by drug-gene-disease coherent subnetworks. CPT: Pharmacometrics and Systems Pharmacology 2014;3:e146

12.   Li R, Ma T, Gu J, Liang X, Li S*. Imbalanced network biomarkers for traditional Chinese medicine Syndrome in gastritis patients. Scientific Reports 2013;3:1543

13.   Li S*, Zhang B. Traditional Chinese medicine network pharmacology: theory, methodology and application. Chinese Journal of Natural Medicines 2013;11(2):110-120

14.   Zhang B, Wang X, Li S*. An integrative platform of TCM network pharmacology and its application on an herbal formula, Qing-Luo-Yin. Evidence-based Complementary and Alternative Medicine 2013:456747

15.   Wang T, Gu J, Yuan J, Tao R, Li Y, Li S*. Inferring pathway crosstalk networks using gene set co-expression signatures. Molecular BioSystems 2013;9(7):1822-1828

16.   Jiang B, Liang X, Chen Y, Ma T, Liu L, Li J, Jiang R, Chen T, Zhang X*, Li S*. Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome. Scientific Reports 2012;2:936

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

18.   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

19.   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)

20.   Yao X, Hao H, Li Y, Li S*. Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network. BMC Systems Biology 2011;5:79

21.   Li S*. Network target: a starting point for traditional Chinese medicine network pharmacology. China Journal of Chinese Meteria Medica 2011;36:2017-2020 (In Chinese)

22.   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

23.   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

24.   Yan H, Zhang B, Li S*, Zhao Q*. A formal model for analyzing drug combination effects and its application in TNF-alpha-induced NFkappaB pathway. BMC Systems Biology 2010;4:50

25.   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

26.   Gu J, Chen Y, Li S*, Li Y*. Identification of responsive gene modules by network-based gene clustering and extending: application to inflammation and angiogenesis. BMC Systems Biology 2010;4:47

27.   Huang Y, Li S*. Detection of characteristic sub pathway network for angiogenesis based on the comprehensive pathway network. BMC Bioinformatics 2010;11(S1):S32

28.   Wu X, Li S*. Cancer Gene Prediction Using a Network Approach. Chapter 11. Cancer Systems Biology (Ed. Edwin Wang). Series: Chapman & Hall/CRC Mathematical & Computational Biology, USA: CRC Press 2010: 191-212

29.   Li S. Network systems underlying traditional Chinese medicine syndrome and herb formula. Current Bioinformatics 2009;4(3):188-196

30.   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 Nature China and ISMB2009

31.   Zhang J, Ma T, Li YD, Li S*. dbNEI2.0: building multilayer network for drug-NEI-disease. Bioinformatics 2008;24:2409-2411

32.   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

33.   Li S. Framework and practice of network-based studies for Chinese herbal formula. Journal of Chinese Integrative Medicine 2007,5(5):489-493 (In Chinese)

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