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BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine

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 ingredie...

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Autores principales: Liu, Zhongyang, Guo, Feifei, Wang, Yong, Li, Chun, Zhang, Xinlei, Li, Honglei, Diao, Lihong, Gu, Jiangyong, Wang, Wei, Li, Dong, He, Fuchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754750/
https://www.ncbi.nlm.nih.gov/pubmed/26879404
http://dx.doi.org/10.1038/srep21146
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author Liu, Zhongyang
Guo, Feifei
Wang, Yong
Li, Chun
Zhang, Xinlei
Li, Honglei
Diao, Lihong
Gu, Jiangyong
Wang, Wei
Li, Dong
He, Fuchu
author_facet Liu, Zhongyang
Guo, Feifei
Wang, Yong
Li, Chun
Zhang, Xinlei
Li, Honglei
Diao, Lihong
Gu, Jiangyong
Wang, Wei
Li, Dong
He, Fuchu
author_sort Liu, Zhongyang
collection PubMed
description 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.
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spelling pubmed-47547502016-02-24 BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine Liu, Zhongyang Guo, Feifei Wang, Yong Li, Chun Zhang, Xinlei Li, Honglei Diao, Lihong Gu, Jiangyong Wang, Wei Li, Dong He, Fuchu Sci Rep Article 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. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4754750/ /pubmed/26879404 http://dx.doi.org/10.1038/srep21146 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Liu, Zhongyang
Guo, Feifei
Wang, Yong
Li, Chun
Zhang, Xinlei
Li, Honglei
Diao, Lihong
Gu, Jiangyong
Wang, Wei
Li, Dong
He, Fuchu
BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
title BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
title_full BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
title_fullStr BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
title_full_unstemmed BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
title_short BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
title_sort batman-tcm: a bioinformatics analysis tool for molecular mechanism of traditional chinese medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754750/
https://www.ncbi.nlm.nih.gov/pubmed/26879404
http://dx.doi.org/10.1038/srep21146
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