Bernetti M, Cavalli A, Mollica L
Department of Pharmacy and Biotechnology , University of Bologna , via Belmeloro 6 , 40126 Bologna , Italy.
CompuNet , Istituto Italiano di Tecnologia , via Morego 30 , 16163 Genova , Italy . Email:
Medchemcomm. 2017 Jan 30;8(3):534-550. doi: 10.1039/c6md00581k. eCollection 2017 Mar 1.
In the last three decades, protein and nucleic acid structure determination and comprehension of the mechanisms, leading to their physiological and pathological functions, have become a cornerstone of biomedical sciences. A deep understanding of the principles governing the fates of cells and tissue at the molecular level has been gained over the years, offering a solid basis for the rational design of drugs aimed at the pharmacological treatment of numerous diseases. Historically, affinity indicators ( and IC/EC) have been assumed to be valid indicators of the efficacy of a drug. However, recent studies pointed out that the kinetics of the drug-receptor binding process could be as important or even more important than affinity in determining the drug efficacy. This eventually led to a growing interest in the characterisation and prediction of the rate constants of protein-ligand association and dissociation. For instance, a drug with a longer residence time can kinetically select a given receptor over another, even if the affinity for both receptors is comparable, thus increasing its therapeutic index. Therefore, understanding the molecular features underlying binding and unbinding processes is of central interest towards the rational control of drug binding kinetics. In this review, we report the theoretical framework behind protein-ligand association and highlight the latest advances in the experimental and computational approaches exploited to investigate the binding kinetics.
在过去三十年中,蛋白质和核酸结构的测定以及对其生理和病理功能机制的理解,已成为生物医学科学的基石。多年来,人们在分子水平上对细胞和组织命运的调控原理有了深入了解,为合理设计针对多种疾病进行药物治疗的药物奠定了坚实基础。从历史上看,亲和力指标(以及IC/EC)一直被认为是药物疗效的有效指标。然而,最近的研究指出,在决定药物疗效方面,药物 - 受体结合过程的动力学可能与亲和力同样重要甚至更为重要。这最终导致人们对蛋白质 - 配体缔合和解离速率常数的表征和预测兴趣日益浓厚。例如,即使对两种受体的亲和力相当,具有较长停留时间的药物在动力学上也可以选择特定的受体而非另一种,从而提高其治疗指数。因此,了解结合和解离过程背后的分子特征对于合理控制药物结合动力学至关重要。在本综述中,我们报告了蛋白质 - 配体缔合背后的理论框架,并强调了用于研究结合动力学的实验和计算方法的最新进展。