Department of Chemistry and Biochemistry, Institute of Cellular and Molecular Biology, University of Texas, Austin, Texas 78712, USA.
Annu Rev Biochem. 2013;82:267-93. doi: 10.1146/annurev-biochem-060410-105819.
Predicting protein-binding affinities of small molecules, even closely related ones, is a formidable challenge in biomolecular recognition and medicinal chemistry. A thermodynamic approach to optimizing affinity in protein-ligand interactions requires knowledge and understanding of how altering the structure of a small molecule will be manifested in protein-binding enthalpy and entropy changes; however, there is a relative paucity of such detailed information. In this review, we examine two strategies commonly used to increase ligand potency. The first of these involves introducing a cyclic constraint to preorganize a small molecule in its biologically active conformation, and the second entails adding nonpolar groups to a molecule to increase the amount of hydrophobic surface that is buried upon binding. Both of these approaches are motivated by paradigms suggesting that protein-binding entropy changes should become more favorable, but paradoxes can emerge that defy conventional wisdom.
预测小分子的蛋白质结合亲和力,即使是密切相关的亲和力,也是生物分子识别和药物化学中的一个巨大挑战。优化蛋白质-配体相互作用亲和力的热力学方法需要了解和理解改变小分子结构将如何表现在蛋白质结合焓和熵变化中;然而,这种详细信息相对较少。在这篇综述中,我们研究了两种常用于增加配体效力的策略。第一种策略涉及引入环状约束以使小分子在其生物活性构象中预组织,第二种策略涉及向分子中添加非极性基团以增加结合时埋藏的疏水面的量。这两种方法都是基于这样的范式:蛋白质结合熵变化应该变得更加有利,但也会出现一些悖论,这与传统观念相违背。