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Applications of Network Pharmacology in Traditional Chinese Medicine Research

Human diseases, especially infectious ones, have been evolving constantly. However, their treatment strategies are not developing quickly. Some diseases are caused by a variety of factors with very complex pathologies, and the use of a single drug cannot solve these problems. Traditional Chinese Med...

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Detalles Bibliográficos
Autores principales: Zhou, Zhuchen, Chen, Bing, Chen, Simiao, Lin, Minqiu, Chen, Ying, Jin, Shan, Chen, Weiyan, Zhang, Yuyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042531/
https://www.ncbi.nlm.nih.gov/pubmed/32148533
http://dx.doi.org/10.1155/2020/1646905
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author Zhou, Zhuchen
Chen, Bing
Chen, Simiao
Lin, Minqiu
Chen, Ying
Jin, Shan
Chen, Weiyan
Zhang, Yuyan
author_facet Zhou, Zhuchen
Chen, Bing
Chen, Simiao
Lin, Minqiu
Chen, Ying
Jin, Shan
Chen, Weiyan
Zhang, Yuyan
author_sort Zhou, Zhuchen
collection PubMed
description Human diseases, especially infectious ones, have been evolving constantly. However, their treatment strategies are not developing quickly. Some diseases are caused by a variety of factors with very complex pathologies, and the use of a single drug cannot solve these problems. Traditional Chinese Medicine (TCM) medication is a unique treatment method in China. TCM formulae contain multiple herbs with multitarget, multichannel, and multilink characteristics. In recent years, with the flourishing development of network pharmacology, a new method for searching therapeutic drugs has emerged. The multitarget action in network pharmacology is consistent with the complex mechanisms of disease and drug action. Using network pharmacology to understand TCM is an emerging trend.
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spelling pubmed-70425312020-03-08 Applications of Network Pharmacology in Traditional Chinese Medicine Research Zhou, Zhuchen Chen, Bing Chen, Simiao Lin, Minqiu Chen, Ying Jin, Shan Chen, Weiyan Zhang, Yuyan Evid Based Complement Alternat Med Review Article Human diseases, especially infectious ones, have been evolving constantly. However, their treatment strategies are not developing quickly. Some diseases are caused by a variety of factors with very complex pathologies, and the use of a single drug cannot solve these problems. Traditional Chinese Medicine (TCM) medication is a unique treatment method in China. TCM formulae contain multiple herbs with multitarget, multichannel, and multilink characteristics. In recent years, with the flourishing development of network pharmacology, a new method for searching therapeutic drugs has emerged. The multitarget action in network pharmacology is consistent with the complex mechanisms of disease and drug action. Using network pharmacology to understand TCM is an emerging trend. Hindawi 2020-02-14 /pmc/articles/PMC7042531/ /pubmed/32148533 http://dx.doi.org/10.1155/2020/1646905 Text en Copyright © 2020 Zhuchen Zhou et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Zhou, Zhuchen
Chen, Bing
Chen, Simiao
Lin, Minqiu
Chen, Ying
Jin, Shan
Chen, Weiyan
Zhang, Yuyan
Applications of Network Pharmacology in Traditional Chinese Medicine Research
title Applications of Network Pharmacology in Traditional Chinese Medicine Research
title_full Applications of Network Pharmacology in Traditional Chinese Medicine Research
title_fullStr Applications of Network Pharmacology in Traditional Chinese Medicine Research
title_full_unstemmed Applications of Network Pharmacology in Traditional Chinese Medicine Research
title_short Applications of Network Pharmacology in Traditional Chinese Medicine Research
title_sort applications of network pharmacology in traditional chinese medicine research
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042531/
https://www.ncbi.nlm.nih.gov/pubmed/32148533
http://dx.doi.org/10.1155/2020/1646905
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