In-silico studies in Chinese herbal medicines鈥?research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date

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• 作者：D.J. Barlow^a ; ^{dave.barlow@kcl.ac.uk} ; A. Buriani^a ; ^b ; ^c ; T. Ehrman^a ; E. Bosisio^d ; I. Eberini^d ; P.J. Hylands^a
• 关键词：GP-TCM ; Traditional Chinese Medicine ; In-silico studies ; Chinese Herbal medicine
• 刊名：Journal of Ethnopharmacology
• 出版年：2012
• 期刊代码：26_03788741
• 类别：pha
• 出版时间：10 April, 2012
• 卷：140
• 期：3
• 页码：526-534
• 文件大小：365 K

摘要

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 鈥榦mics 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.