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药效团模型及其在药物发现中的应用:挑战与最新进展。

Pharmacophore modeling and applications in drug discovery: challenges and recent advances.

机构信息

State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan 610041, China.

出版信息

Drug Discov Today. 2010 Jun;15(11-12):444-50. doi: 10.1016/j.drudis.2010.03.013. Epub 2010 Apr 1.

Abstract

Pharmacophore approaches have become one of the major tools in drug discovery after the past century's development. Various ligand-based and structure-based methods have been developed for improved pharmacophore modeling and have been successfully and extensively applied in virtual screening, de novo design and lead optimization. Despite these successes, pharmacophore approaches have not reached their expected full capacity, particularly in facing the demand for reducing the current expensive overall cost associated with drug discovery and development. Here, the challenges of pharmacophore modeling and applications in drug discovery are discussed and recent advances and latest developments are described, which provide useful clues to the further development and application of pharmacophore approaches.

摘要

在过去一个世纪的发展之后,药效团方法已经成为药物发现的主要工具之一。已经开发了各种基于配体和基于结构的方法,用于改进药效团建模,并已成功和广泛应用于虚拟筛选、从头设计和先导化合物优化。尽管取得了这些成功,但药效团方法并没有达到预期的全部能力,特别是在满足降低与药物发现和开发相关的当前昂贵总成本的需求方面。本文讨论了药效团建模和在药物发现中的应用所面临的挑战,并描述了最近的进展和最新的发展,为药效团方法的进一步发展和应用提供了有用的线索。

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