Medicinal Chemistry Research Group, Research Center for Natural Sciences, Budapest, Hungary.
Expert Opin Drug Discov. 2020 Jan;15(1):117-129. doi: 10.1080/17460441.2020.1691166. Epub 2019 Nov 19.
: The enthalpic and entropic components of the ligand-protein binding free energy reflect the type and quality of the interactions and relate to the physicochemical properties of the ligands. These findings have significance in medicinal chemistry optimizations since they suggest that the thermodynamic profiling of the binding may help monitor and control the unfavorable size and hydrophobicity increase typically accompanying affinity improvements and leading to suboptimal pharmacokinetic properties.: This review describes the ligand-protein binding event in terms of elementary steps, their associated interactions, and their enthalpic and entropic consequences. The relationships among the breaking and forming interactions, the binding thermodynamic profile, and the physicochemical properties of the ligands are also discussed.: Analysis of the size dependence of available affinity and favorable enthalpy highlights the limitation of the simultaneous optimization of these quantities. Indeed, moderate, rather than very high affinities can be conciliated with favorable physicochemical and pharmacokinetic profiles as it is supported by the affinity range of historical oral drugs. Although thermodynamic quantities are not suitable endpoints for medicinal chemistry optimizations owing to the complexity of the binding thermodynamics, thermodynamic profiling together with structural studies can be advantageously used to understand the details of the binding process and to optimize it.
: 配体-蛋白结合自由能的焓和熵分量反映了相互作用的类型和质量,并与配体的物理化学性质有关。这些发现对药物化学优化具有重要意义,因为它们表明结合的热力学分析可能有助于监测和控制通常伴随亲和力提高而出现的不利的大小和疏水性增加,从而导致不理想的药代动力学性质。: 本文从基本步骤、相关相互作用及其焓和熵后果的角度描述了配体-蛋白结合事件。还讨论了断裂和形成相互作用、结合热力学特征和配体物理化学性质之间的关系。: 对可用亲和力的大小依赖性和有利焓的分析突出了同时优化这些数量的局限性。事实上,适度的亲和力,而不是非常高的亲和力,可以与有利的物理化学和药代动力学特征相协调,因为这得到了历史口服药物的亲和力范围的支持。尽管由于结合热力学的复杂性,热力学参数不适合作为药物化学优化的终点,但热力学分析与结构研究相结合可以用于理解结合过程的细节并对其进行优化。