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药物发现中基于配体的虚拟高通量筛选的分子描述符与方法。

Molecular descriptors and methods for ligand based virtual high throughput screening in drug discovery.

作者信息

Pozzan Alfonso

机构信息

Computational, Analytical & Structural Sciences (CASS), Computational Chemistry and Compound Diversity, GlaxoSmithKline S.p.A., Medicine Research Centre, Verona, Italy.

出版信息

Curr Pharm Des. 2006;12(17):2099-110. doi: 10.2174/138161206777585247.

DOI:10.2174/138161206777585247
PMID:16796558
Abstract

The aim of virtual high throughput screening is the identification of biologically relevant molecules amongst either tangible or virtual (large) collections of compounds. Amongst the various virtual screening approaches, those that are ligand based are becoming very popular due to the possibility to screen millions of molecules in a timely way. Descriptors and methods are briefly introduced and reviewed with more emphasis for those approaches that are based on fingerprint descriptors and that seems to be more utilized during the drug discovery process.

摘要

虚拟高通量筛选的目的是在有形或虚拟(大量)化合物库中识别具有生物学相关性的分子。在各种虚拟筛选方法中,基于配体的方法正变得非常流行,因为它有可能及时筛选数百万个分子。本文简要介绍并回顾了各种描述符和方法,重点介绍了基于指纹描述符的方法,这些方法在药物发现过程中似乎得到了更广泛的应用。

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