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药物发现和传染病计算方法的应用。

Drug discovery and the use of computational approaches for infectious diseases.

机构信息

Intervet Innovation GmbH, BioChemInformatics, Zur Propstei, 55270 Schwabenheim, Germany.

出版信息

Future Med Chem. 2011 Jun;3(8):1011-25. doi: 10.4155/fmc.11.60.

Abstract

For centuries infectious diseases were the scourge of humanity, overcome only by the discovery of vaccination and penicillin. With an armamentarium of effective antibiotics, vaccines and drugs at hand, infectious diseases for many years were considered to be negligible. With the onset of the AIDS pandemic, the return of tuberculosis and influenza (e.g., swine influenza) this notion has changed in recent years. Drug discovery for infectious diseases, therefore, is again gaining increasing interest. This article discusses the drug-discovery process in this area and introduces major computational approaches used to identify suitable drug targets and to discover and optimize chemical lead compounds towards drug candidates using examples from antiparasitic drug discovery.

摘要

几个世纪以来,传染病一直是人类的灾难,只有发现疫苗和青霉素才能战胜它们。随着有效抗生素、疫苗和药物的出现,多年来,传染病被认为是微不足道的。随着艾滋病大流行的爆发、结核病和流感(如猪流感)的卷土重来,这种观念近年来发生了变化。因此,传染病的药物发现再次引起了越来越多的关注。本文讨论了这一领域的药物发现过程,并介绍了主要的计算方法,这些方法用于识别合适的药物靶点,并利用抗寄生虫药物发现的例子来发现和优化化学先导化合物,以获得候选药物。

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