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中药研究中的计算研究:计算方法和植物化学数据源评估,以及迄今为止的研究综述。

In-silico studies in Chinese herbal medicines' research: evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date.

机构信息

Institute of Pharmaceutical Science, King's College London, Franklin Wilkins Building, 150 Stamford Street, London SE1 9NH, UK.

出版信息

J Ethnopharmacol. 2012 Apr 10;140(3):526-34. doi: 10.1016/j.jep.2012.01.041. Epub 2012 Feb 2.

Abstract

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.

摘要

本文回顾了可获取的中药信息数据库,讨论了它们在中草药虚拟筛选研究中的内容和实用性,以及各种蛋白质数据库资源和可用于此类研究的软件。本文还总结了中草药生物信息学和组学研究可用的软件,并对应用于中草药虚拟筛选的各种虚拟方法(包括分类树、神经网络、支持向量机、对接和逆对接算法)进行了批判性评估。本文对未来的中草药虚拟筛选研究提出了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c55/7126886/cd7c4c587d5e/fx1_lrg.jpg

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