title: BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine.
abstract: Traditional Chinese Medicine (TCM), with a history of thousands of years of clinical practice, is gaining more and more attention and application worldwide. And TCM-based new drug development, especially for the treatment of complex diseases is promising. However, owing to the TCM's diverse ingredients and their complex interaction with human body, it is still quite difficult to uncover its molecular mechanism, which greatly hinders the TCM modernization and internationalization. Here we developed the first online Bioinformatics Analysis Tool for Molecular mechANism of TCM (BATMAN-TCM). Its main functions include 1) TCM ingredients' target prediction; 2) functional analyses of targets including biological pathway, Gene Ontology functional term and disease enrichment analyses; 3) the visualization of ingredient-target-pathway/disease association network and KEGG biological pathway with highlighted targets; 4) comparison analysis of multiple TCMs. Finally, we applied BATMAN-TCM to Qishen Yiqi dripping Pill (QSYQ) and combined with subsequent experimental validation to reveal the functions of renin-angiotensin system responsible for QSYQ's cardioprotective effects for the first time. BATMAN-TCM will contribute to the understanding of the "multi-component, multi-target and multi-pathway" combinational therapeutic mechanism of TCM, and provide valuable clues for subsequent experimental validation, accelerating the elucidation of TCM's molecular mechanism. BATMAN-TCM is available at http://bionet.ncpsb.org/batman-tcm.
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 100850, China.|National Center for Protein Sciences Beijing, Beijing 102206, China.
authors.forename: Zhongyang
authors.initials: Z
authors.lastname: Liu
authors.affiliation: Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China.
authors.forename: Feifei
authors.initials: F
authors.lastname: Guo
authors.affiliation: Beijing University of Chinese Medicine, Beijing 100029, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Beijing University of Chinese Medicine, Beijing 100029, China.
authors.forename: Chun
authors.initials: C
authors.lastname: Li
authors.affiliation: Beijing Genestone Technology Ltd., Beijing 100085, China.
authors.forename: Xinlei
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Beijing Genestone Technology Ltd., Beijing 100085, China.
authors.forename: Honglei
authors.initials: H
authors.lastname: Li
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 100850, China.|National Center for Protein Sciences Beijing, Beijing 102206, China.
authors.forename: Lihong
authors.initials: L
authors.lastname: Diao
authors.affiliation: Beijing National Laboratory for Molecular Sciences, State Key Lab of Rare Earth Material Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
authors.forename: Jiangyong
authors.initials: J
authors.lastname: Gu
authors.affiliation: Beijing University of Chinese Medicine, Beijing 100029, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 100850, China.|National Center for Protein Sciences Beijing, Beijing 102206, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Li
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 100850, China.|National Center for Protein Sciences Beijing, Beijing 102206, China.
authors.forename: Fuchu
authors.initials: F
authors.lastname: He
mesh_terms: D019295:Computational Biology / Q000379:methods*; D055808:Drug Discovery / Q000379:methods; D005786:Gene Expression Regulation / Q000187:drug effects; D053263:Gene Regulatory Networks; D006801:Humans; D008516:Medicine, Chinese Traditional; D012372:ROC Curve; D015203:Reproducibility of Results; D015398:Signal Transduction / Q000187:drug effects; D064878:Web Browser