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In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date
The available databases that catalogue information on traditional Chinese medicines are reviewed in terms of their content and utility for in-silico research on Chinese herbal medicines, as too are the various protein database resources, and the software available for use in such studies. The softwa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ireland Ltd.
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126886/ https://www.ncbi.nlm.nih.gov/pubmed/22326356 http://dx.doi.org/10.1016/j.jep.2012.01.041 |
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author | Barlow, D.J. Buriani, A. Ehrman, T. Bosisio, E. Eberini, I. Hylands, P.J. |
author_facet | Barlow, D.J. Buriani, A. Ehrman, T. Bosisio, E. Eberini, I. Hylands, P.J. |
author_sort | Barlow, D.J. |
collection | PubMed |
description | The available databases that catalogue information on traditional Chinese medicines are reviewed in terms of their content and utility for in-silico research on Chinese herbal medicines, as too are the various protein database resources, and the software available for use in such studies. The software available for bioinformatics and ‘omics studies of Chinese herbal medicines are summarised, and a critical evaluation given of the various in-silico methods applied in screening Chinese herbal medicines, including classification trees, neural networks, support vector machines, docking and inverse docking algorithms. Recommendations are made regarding any future in-silico studies of Chinese herbal medicines. |
format | Online Article Text |
id | pubmed-7126886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier Ireland Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71268862020-04-08 In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date Barlow, D.J. Buriani, A. Ehrman, T. Bosisio, E. Eberini, I. Hylands, P.J. J Ethnopharmacol Article The available databases that catalogue information on traditional Chinese medicines are reviewed in terms of their content and utility for in-silico research on Chinese herbal medicines, as too are the various protein database resources, and the software available for use in such studies. The software available for bioinformatics and ‘omics studies of Chinese herbal medicines are summarised, and a critical evaluation given of the various in-silico methods applied in screening Chinese herbal medicines, including classification trees, neural networks, support vector machines, docking and inverse docking algorithms. Recommendations are made regarding any future in-silico studies of Chinese herbal medicines. Elsevier Ireland Ltd. 2012-04-10 2012-02-02 /pmc/articles/PMC7126886/ /pubmed/22326356 http://dx.doi.org/10.1016/j.jep.2012.01.041 Text en Copyright © 2012 Elsevier Ireland Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Barlow, D.J. Buriani, A. Ehrman, T. Bosisio, E. Eberini, I. Hylands, P.J. In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
title | In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
title_full | In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
title_fullStr | In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
title_full_unstemmed | In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
title_short | In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
title_sort | in-silico studies in chinese herbal medicines’ research: evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126886/ https://www.ncbi.nlm.nih.gov/pubmed/22326356 http://dx.doi.org/10.1016/j.jep.2012.01.041 |
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