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应用热力学分析进行先导化合物发现和优化。

Applying thermodynamic profiling in lead finding and optimization.

机构信息

Institute of Pharmaceutical Chemistry, University of Marburg, Marbacher Weg 6, D35032 Marburg, Germany.

出版信息

Nat Rev Drug Discov. 2015 Feb;14(2):95-110. doi: 10.1038/nrd4486. Epub 2015 Jan 23.

Abstract

Small-molecule drug discovery involves the optimization of various physicochemical properties of a ligand, particularly its binding affinity for its target receptor (or receptors). In recent years, there has been growing interest in using thermodynamic profiling of ligand-receptor interactions in order to select and optimize those ligands that might be most likely to become drug candidates with desirable physicochemical properties. The thermodynamics of binding is influenced by multiple factors, including hydrogen bonding and hydrophobic interactions, desolvation, residual mobility, dynamics and the local water structure. This article discusses key issues in understanding the effects of these factors and applying this knowledge in drug discovery.

摘要

小分子药物的发现涉及到对配体的各种物理化学性质进行优化,尤其是其对靶受体(或受体)的结合亲和力。近年来,人们越来越感兴趣的是利用配体-受体相互作用的热力学分析来选择和优化那些最有可能成为具有理想物理化学性质的候选药物的配体。结合的热力学受到多种因素的影响,包括氢键和疏水相互作用、去溶剂化、残余流动性、动力学和局部水结构。本文讨论了理解这些因素的影响并将这些知识应用于药物发现中的关键问题。

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