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化学相似性搜索:何时需要考虑复杂性?

Chemical similarity searches: when is complexity justified?

机构信息

RY50S-100, Merck Research Laboratories, Rahway, NJ 06065, USA.

出版信息

Expert Opin Drug Discov. 2007 Apr;2(4):423-30. doi: 10.1517/17460441.2.4.423.

DOI:10.1517/17460441.2.4.423
PMID:23484752
Abstract

Chemical similarity is a very popular method for virtual screening. Similarity methods have been under development for decades and there is a tendency for the newer methods to be more complex (and more computationally expensive). One stated justification for adding complexity is that the methods are better able to 'lead-hop'. However, is this really true? I argue that only some types of complexity are useful in this regard.

摘要

化学相似性是虚拟筛选中非常流行的方法。相似性方法已经开发了几十年,并且新方法往往更复杂(计算成本也更高)。增加复杂性的一个公认理由是这些方法能够更好地“引导跳跃”。但是,这真的对吗?我认为只有某些类型的复杂性在这方面才是有用的。

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