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Draft:Shao Li

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In this Chinese name, the family name is Li.

Shao Li (Chinese: 李梢) is a tenured professor at Tsinghua University, Fellow of the Royal Society of Chemistry/the Royal Society of Biology. He is an expert of bioinformatics, network pharmacology and AI-based precision medicine on clinical practice of cancer prevention. He received his Doctor of Medicine degree at Beijing University of Chinese Medicine in 2001. He firstly proposed the paradigm shift of drug research from "one target, one drug" to "network target, multicomponent therapeutics" and Network Pharmacology, a systematic approach combining systems biology, bioinformatics, traditional and modern medicine[1]. He set the first international standard, editing the first monograph for network pharmacology (Springer Press) [2][3].

He is the founder and director of the first Tsinghua University Interdisciplinary Institute of Traditional Chinese Medicine (TCM)[4]. He was selected as Fellows of Royal Society of Chemistry and Royal Society of Biology[5][6]. He is also the founder and chairman of the Specialty Committee of Network Pharmacology of the World Federation of Chinese Medicine Society, and Specialty Committee of Biomedical Big Data of the Chinese Society of Biotechnology. He also served as Editorial Board Members of SCI journals including Cancer Biology & Medicine, Frontiers in Pharmacology, Journal of Ethnopharmacology, and organized special issues such as "network pharmacology and traditional medicine". He was selected World's Top 2% Scientists (2019/2020/2021/2022, Stanford University) [7]

He received the 1st Class of International Award for Outstanding Contribution to Chinese Medicine, and the Li Shizhen Pharmaceutical Innovation Award (The highest individual award for major innovations by China Association of Chinese Medicine). He is also awarded Grand Challenges 2015—Young Scientists (Ministry of Science & Technology, Bill & Melinda Gates Foundation, 2015), the National Outstanding Young Scientist (2012), National "Ten-Thousand talents" Program of Leading Talents in Science and Technological Innovation (2019), National Excellent Doctoral Dissertation (2003), National Science and Technology Progress Award (2004), and National Teaching Achievement Award (2009).

Academic papers

SELECTED PUBLICATIONS (*: Corresponding author)

1.Zhang P, Li S. Human cross-tissue cell atlases: unprecedented resources towards systematic understanding of physiology and diseases. Signal transduction and targeted therapy. 2022;7(1):352.[8]

2.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[9]

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 2021)[10]

5.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[11]

6.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[12]

7.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）[13]

8.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

9.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.

10.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

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

12.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, Top 1% Highly Cited Chinese Authors in Royal Society of Chemistry Journals)

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.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)

15.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）[14]

ACADEMIC MONOGRAPH:

Li S (editor). Network Pharmacology. Springer Press&Tsinghua University Press 2021

References

  1. ^ Li, Shao; Zhang, Bo (2013-03-01). "Traditional Chinese medicine network pharmacology: theory, methodology and application". Chinese Journal of Natural Medicines. 11 (2): 110–120. doi:10.1016/S1875-5364(13)60037-0. ISSN 1875-5364. PMID 23787177. S2CID 1252771.
  2. ^ Li, Shao (2021-01-01). "Network Pharmacology Evaluation Method Guidance - Draft". World Journal of Traditional Chinese Medicine. 7 (1): 146. doi:10.4103/wjtcm.wjtcm_11_21. ISSN 2311-8571. S2CID 232328891.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  3. ^ Li, Shao, ed. (2021). "Network Pharmacology". SpringerLink. doi:10.1007/978-981-16-0753-0. ISBN 978-981-16-0752-3. S2CID 78332992.
  4. ^ "Shao Li". scholar.google.com. Retrieved 2023-05-17.
  5. ^ "Professor Li Shao elected as Fellow of the Royal Society of Chemistry". www.au.tsinghua.edu.cn. Retrieved 2023-05-17.
  6. ^ "Professor Li Shao elected as Fellow of the Royal Society of Biology". www.tsinghua.edu.cn. Retrieved 2023-05-17.
  7. ^ Baas, Jeroen; Boyack, Kevin; Ioannidis, John P. A. (2021-10-19). "August 2021 data-update for "Updated science-wide author databases of standardized citation indicators"". 3. Elsevier BV. doi:10.17632/btchxktzyw.3. {{cite journal}}: Cite journal requires |journal= (help)
  8. ^ Zhang, Peng; Li, Shao (2022-10-05). "Human cross-tissue cell atlases: unprecedented resources towards systematic understanding of physiology and diseases". Signal Transduction and Targeted Therapy. 7 (1): 352. doi:10.1038/s41392-022-01201-w. ISSN 2059-3635. PMC 9534838. PMID 36198687.
  9. ^ academic.oup.com https://academic.oup.com/bib/article-abstract/23/5/bbac170/6585388?redirectedFrom=fulltext&login=false. Retrieved 2023-05-17. {{cite web}}: Missing or empty |title= (help)
  10. ^ Zhou, Wuai; Yang, Kuo; Zeng, Jianyang; Lai, Xinxing; Wang, Xin; Ji, Chaofan; Li, Yan; Zhang, Peng; Li, Shao (2021-11-01). "FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule". Pharmacological Research. 173: 105752. doi:10.1016/j.phrs.2021.105752. ISSN 1043-6618. PMID 34481072. S2CID 237417345.
  11. ^ Sun, Jin; Wang, Xia; Xu, Rong‐Gang; Mao, Decai; Shen, Da; Wang, Xin; Qiu, Yuhao; Han, Yuting; Lu, Xinyi; Li, Yutong; Che, Qinyun; Zheng, Li; Peng, Ping; Kang, Xuan; Zhu, Ruibao (2021-04-07). "HP1c regulates development and gut homeostasis by suppressing Notch signaling through Su(H)". EMBO Reports. 22 (4): e51298. doi:10.15252/embr.202051298. ISSN 1469-221X. PMC 8024896. PMID 33594776.
  12. ^ Yuan, Zhiyuan; Zhou, Qiming; Cai, Lesi; Pan, Lin; Sun, Weiliang; Qumu, Shiwei; Yu, Si; Feng, Jiaxin; Zhao, Hansen; Zheng, Yongchang; Shi, Minglei; Li, Shao; Chen, Yang; Zhang, Xinrong; Zhang, Michael Q. (October 2021). "SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment". Nature Methods. 18 (10): 1223–1232. doi:10.1038/s41592-021-01276-3. ISSN 1548-7105. PMID 34608315. S2CID 234643594.
  13. ^ Zhang, Peng; Yang, Mingran; Zhang, Yiding; Xiao, Shuai; Lai, Xinxing; Tan, Aidi; Du, Shiyu; Li, Shao (2019-05-07). "Dissecting the Single-Cell Transcriptome Network Underlying Gastric Premalignant Lesions and Early Gastric Cancer". Cell Reports. 27 (6): 1934–1947.e5. doi:10.1016/j.celrep.2019.04.052. ISSN 2211-1247. PMID 31067475. S2CID 148569297.
  14. ^ Wu, Xuebing; Jiang, Rui; Zhang, Michael Q; Li, Shao (2008-01-01). "Network‐based global inference of human disease genes". Molecular Systems Biology. 4 (1): 189. doi:10.1038/msb.2008.27. ISSN 1744-4292. PMC 2424293. PMID 18463613.
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