Binding affinity in drug design: experimental and computational techniques

计算机科学 药物发现 药品 计算生物学 药理学 化学 生物 医学 生物化学
作者
Visvaldas Kairys,Lina Baranauskienė,Migle Kazlauskiene,Daumantas Matulis,Egidijus Kazlauskas
出处
期刊:Expert Opinion on Drug Discovery [Taylor & Francis]
卷期号:14 (8): 755-768 被引量:120
标识
DOI:10.1080/17460441.2019.1623202
摘要

Introduction: In pharmaceutical design where future drugs are developed by targeting a specific chosen protein, the evaluation of ligand affinity is crucial. For this very purpose are a multitude of diverse methods which are continuously being improved, which, in turn, makes it difficult to choose which techniques to use in practice. Areas covered: In this review, the authors discuss both experimental and computational approaches for affinity evaluation. Basic principles, general limitations and advantages, as well as main areas of application in drug discovery, are overviewed for some of the most popular ligand binding assays. The authors further provide a guide to affinity predictions, collectively covering several techniques that are used in the first stages of rational drug design. Expert opinion: All affinity estimation methods have limitations and advantages that partially overlap and complement one another. Some of the suggested best practices include cross-verification of data using at least two different techniques and careful data interpretation.

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