李梢 - 清华大学 - 自动化系

个人简介

教育背景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）工作履历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）学术兼职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奖励与荣誉英国皇家化学会会士 (2022) 英国皇家生物学会会士（2022) 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）

研究领域

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

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

SELECTED PUBLICATIONS (*: Corresponding author) 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 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. Li S*. Network Pharmacology Evaluation Method Guidance - Draft. World Journal of Traditional Chinese Medicine 2021;7(1):146-154. 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) 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 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 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 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 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. 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） 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) 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 Tan A, Huang H, Zhang P, Li S*. Network-based cancer precision medicine: a new emerging paradigm. Cancer Letters 2019; 458;39-45. 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. 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 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 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 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) Li S*, Zhang B. Traditional Chinese medicine network pharmacology: theory, methodology and application. Chinese Journal of Natural Medicines 2013;11(2):110-120 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 (Faculty of 1000 "Must Read" paper) 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） 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 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） 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 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） Zhang J, Ma T, Li YD, Li S*. dbNEI2.0: building multilayer network for drug-NEI-disease. Bioinformatics 2008;24:2409-2411 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 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 Li S*, Wu LJ, Zhang ZQ. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach. Bioinformatics 2006;22:2143-2150 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 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