Hierarchical virtual screening approaches in small molecule drug discovery

计算机科学 药品 药物开发 化学信息学 药物重新定位 化学空间 对接(动物) 药效团
作者
Ashutosh Kumar,Kam Y. J. Zhang
出处
期刊:Methods [Elsevier BV]
卷期号:71: 26-37 被引量:157
标识
DOI:10.1016/j.ymeth.2014.07.007
摘要

Virtual screening has played a significant role in the discovery of small molecule inhibitors of therapeutic targets in last two decades. Various ligand and structure-based virtual screening approaches are employed to identify small molecule ligands for proteins of interest. These approaches are often combined in either hierarchical or parallel manner to take advantage of the strength and avoid the limitations associated with individual methods. Hierarchical combination of ligand and structure-based virtual screening approaches has received noteworthy success in numerous drug discovery campaigns. In hierarchical virtual screening, several filters using ligand and structure-based approaches are sequentially applied to reduce a large screening library to a number small enough for experimental testing. In this review, we focus on different hierarchical virtual screening strategies and their application in the discovery of small molecule modulators of important drug targets. Several virtual screening studies are discussed to demonstrate the successful application of hierarchical virtual screening in small molecule drug discovery.

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