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In silico approach in reveal traditional medicine plants pharmacological material basis

In recent years, studies of traditional medicinal plants have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening and netw...

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Autores principales: Yi, Fan, Li, Li, Xu, Li-jia, Meng, Hong, Dong, Yin-mao, Liu, Hai-bo, Xiao, Pei-gen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006786/
https://www.ncbi.nlm.nih.gov/pubmed/29946351
http://dx.doi.org/10.1186/s13020-018-0190-0
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author Yi, Fan
Li, Li
Xu, Li-jia
Meng, Hong
Dong, Yin-mao
Liu, Hai-bo
Xiao, Pei-gen
author_facet Yi, Fan
Li, Li
Xu, Li-jia
Meng, Hong
Dong, Yin-mao
Liu, Hai-bo
Xiao, Pei-gen
author_sort Yi, Fan
collection PubMed
description In recent years, studies of traditional medicinal plants have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening and network analysis have been widely utilized in efforts to elucidate the pharmacological basis of the functions of traditional medicinal plants. In the process of new drug discovery, the application of virtual screening and network pharmacology can enrich active compounds among the candidates and adequately indicate the mechanism of action of medicinal plants, reducing the cost and increasing the efficiency of the whole procedure. In this review, we first provide a detailed research routine for examining traditional medicinal plants by in silico techniques and elaborate on their theoretical principles. We also survey common databases, software programs and website tools that can be used for virtual screening and pharmacological network construction. Furthermore, we conclude with a simple example that illustrates the whole methodology, and we present perspectives on the development and application of this in silico methodology to reveal the pharmacological basis of the effects of traditional medicinal plants.
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spelling pubmed-60067862018-06-26 In silico approach in reveal traditional medicine plants pharmacological material basis Yi, Fan Li, Li Xu, Li-jia Meng, Hong Dong, Yin-mao Liu, Hai-bo Xiao, Pei-gen Chin Med Review In recent years, studies of traditional medicinal plants have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening and network analysis have been widely utilized in efforts to elucidate the pharmacological basis of the functions of traditional medicinal plants. In the process of new drug discovery, the application of virtual screening and network pharmacology can enrich active compounds among the candidates and adequately indicate the mechanism of action of medicinal plants, reducing the cost and increasing the efficiency of the whole procedure. In this review, we first provide a detailed research routine for examining traditional medicinal plants by in silico techniques and elaborate on their theoretical principles. We also survey common databases, software programs and website tools that can be used for virtual screening and pharmacological network construction. Furthermore, we conclude with a simple example that illustrates the whole methodology, and we present perspectives on the development and application of this in silico methodology to reveal the pharmacological basis of the effects of traditional medicinal plants. BioMed Central 2018-06-19 /pmc/articles/PMC6006786/ /pubmed/29946351 http://dx.doi.org/10.1186/s13020-018-0190-0 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Yi, Fan
Li, Li
Xu, Li-jia
Meng, Hong
Dong, Yin-mao
Liu, Hai-bo
Xiao, Pei-gen
In silico approach in reveal traditional medicine plants pharmacological material basis
title In silico approach in reveal traditional medicine plants pharmacological material basis
title_full In silico approach in reveal traditional medicine plants pharmacological material basis
title_fullStr In silico approach in reveal traditional medicine plants pharmacological material basis
title_full_unstemmed In silico approach in reveal traditional medicine plants pharmacological material basis
title_short In silico approach in reveal traditional medicine plants pharmacological material basis
title_sort in silico approach in reveal traditional medicine plants pharmacological material basis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006786/
https://www.ncbi.nlm.nih.gov/pubmed/29946351
http://dx.doi.org/10.1186/s13020-018-0190-0
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