Lengauer Thomas, Lemmen Christian, Rarey Matthias, Zimmermann Marc
Max-Planck Institute for Informatics, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany.
Drug Discov Today. 2004 Jan 1;9(1):27-34. doi: 10.1016/S1359-6446(04)02939-3.
There are several methods for virtual screening of databases of small organic compounds to find tight binders to a given protein target. Recent reviews in Drug Discovery Today have concentrated on screening by docking and by pharmacophore searching. Here, we complement these reviews by focusing on virtual screening methods that are based on analyzing ligand similarity on a structural level. Specifically, we concentrate on methods that exploit structural properties of the complete ligand molecules, as opposed to using just partial structural templates, such as pharmacophores. The in silico procedure of virtual screening (VS) and its relationship to the experimental procedure, HTS, is discussed, new developments in the field are summarized and perspectives on future research are offered.
有几种用于虚拟筛选有机小分子化合物数据库以寻找与给定蛋白质靶点紧密结合剂的方法。《今日药物发现》最近的综述集中在通过对接和药效团搜索进行筛选。在此,我们通过关注基于在结构水平上分析配体相似性的虚拟筛选方法来补充这些综述。具体而言,我们专注于利用完整配体分子的结构特性的方法,而不是仅使用部分结构模板,如药效团。讨论了虚拟筛选(VS)的计算机模拟程序及其与实验程序高通量筛选(HTS)的关系,总结了该领域的新进展并提供了未来研究的展望。