TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations

Abstract With the advancement of systems biology research, we have already seen great progress in pharmacology studies, especially in network pharmacology. Network pharmacology has been proven to be effective for establishing the “compounds-proteins/genes-diseases” network, and revealing the regulat...

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Autores principales:	Run-zhi Zhang, Shao-jun Yu, Hong Bai, Kang Ning
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4fb994721a5246d798ad4032e6a8cc92
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spelling	oai:doaj.org-article:4fb994721a5246d798ad4032e6a8cc922021-12-02T11:52:20ZTCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations10.1038/s41598-017-03039-72045-2322https://doaj.org/article/4fb994721a5246d798ad4032e6a8cc922017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03039-7https://doaj.org/toc/2045-2322Abstract With the advancement of systems biology research, we have already seen great progress in pharmacology studies, especially in network pharmacology. Network pharmacology has been proven to be effective for establishing the “compounds-proteins/genes-diseases” network, and revealing the regulation principles of small molecules in a high-throughput manner, thus would be very effective for the analysis of drug combinations, especially for TCM preparations. In this work, we have proposed the TCM-Mesh system, which records TCM-related information collected from various resources and could serve for network pharmacology analysis for TCM preparations in a high-throughput manner (http://mesh.tcm.microbioinformatics.org/). Currently, the database contains 6,235 herbs, 383,840 compounds, 14,298 genes, 6,204 diseases, 144,723 gene-disease associations, 3,440,231 pairs of gene interactions, 163,221 side effect records and 71 toxic records, and web-based software construct a network between herbs and treated diseases, which will help to understand the underlying mechanisms for TCM preparations at molecular levels. We have used 1,293 FDA-approved drugs, as well as compounds from an herbal material Panax ginseng and a patented drug Liuwei Dihuang Wan (LDW) for evaluating our database. By comparison of different databases, as well as checking against literature, we have demonstrated the completeness, effectiveness, and accuracy of our database.Run-zhi ZhangShao-jun YuHong BaiKang NingNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Run-zhi Zhang Shao-jun Yu Hong Bai Kang Ning TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations
description	Abstract With the advancement of systems biology research, we have already seen great progress in pharmacology studies, especially in network pharmacology. Network pharmacology has been proven to be effective for establishing the “compounds-proteins/genes-diseases” network, and revealing the regulation principles of small molecules in a high-throughput manner, thus would be very effective for the analysis of drug combinations, especially for TCM preparations. In this work, we have proposed the TCM-Mesh system, which records TCM-related information collected from various resources and could serve for network pharmacology analysis for TCM preparations in a high-throughput manner (http://mesh.tcm.microbioinformatics.org/). Currently, the database contains 6,235 herbs, 383,840 compounds, 14,298 genes, 6,204 diseases, 144,723 gene-disease associations, 3,440,231 pairs of gene interactions, 163,221 side effect records and 71 toxic records, and web-based software construct a network between herbs and treated diseases, which will help to understand the underlying mechanisms for TCM preparations at molecular levels. We have used 1,293 FDA-approved drugs, as well as compounds from an herbal material Panax ginseng and a patented drug Liuwei Dihuang Wan (LDW) for evaluating our database. By comparison of different databases, as well as checking against literature, we have demonstrated the completeness, effectiveness, and accuracy of our database.
format	article
author	Run-zhi Zhang Shao-jun Yu Hong Bai Kang Ning
author_facet	Run-zhi Zhang Shao-jun Yu Hong Bai Kang Ning
author_sort	Run-zhi Zhang
title	TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations
title_short	TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations
title_full	TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations
title_fullStr	TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations
title_full_unstemmed	TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations
title_sort	tcm-mesh: the database and analytical system for network pharmacology analysis for tcm preparations
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/4fb994721a5246d798ad4032e6a8cc92
work_keys_str_mv	AT runzhizhang tcmmeshthedatabaseandanalyticalsystemfornetworkpharmacologyanalysisfortcmpreparations AT shaojunyu tcmmeshthedatabaseandanalyticalsystemfornetworkpharmacologyanalysisfortcmpreparations AT hongbai tcmmeshthedatabaseandanalyticalsystemfornetworkpharmacologyanalysisfortcmpreparations AT kangning tcmmeshthedatabaseandanalyticalsystemfornetworkpharmacologyanalysisfortcmpreparations
_version_	1718395103494537216

TCM-Mesh: The database and analytical system for network pharmacology analysis for TCM preparations

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