College of Pharmacy, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, China; State Key Laboratory of Oncogenes and Related Genes, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, China; The Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia.
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, China.
Drug Discov Today. 2022 Aug;27(8):2226-2234. doi: 10.1016/j.drudis.2022.03.012. Epub 2022 Mar 18.
Allosteric modulators target topologically distal allosteric sites in order to modulate orthosteric sites, providing enhanced specificity and physiochemical properties. Harnessing allostery for drug discovery is an emerging paradigm in modern pharmaceutics. Allosteric regulation substantially depends on the propagation of allosteric signaling. Delineating allosteric signaling pathways is therefore one of the leading prerequisites for allosteric drug discovery. Allosteric signal transduction is subtle and dynamic, posing challenges for characterization through traditional experimental techniques, but computational strategies promise to provide a solution to this problem. Here, we comprehensively review bioinformatic methods for elucidating allosteric communication, along with their successful applications in allosteric drug design. Current challenges and future perspectives are also discussed. We aim to provide guidance for the future application and optimization of these computational strategies, thereby promoting rational allosteric drug discovery.
变构调节剂靶向拓扑上远程的变构位点,以调节正位(orthosteric)位点,从而提供增强的特异性和物理化学性质。利用变构作用进行药物发现是现代药剂学中的一个新兴范例。变构调节在很大程度上取决于变构信号的传递。因此,描绘变构信号通路是变构药物发现的主要前提之一。变构信号转导是微妙和动态的,通过传统的实验技术对其进行特征描述具有挑战性,但计算策略有望为解决此问题提供一种方法。在这里,我们全面回顾了阐明变构通讯的生物信息学方法,以及它们在变构药物设计中的成功应用。还讨论了当前的挑战和未来的展望。我们旨在为这些计算策略的未来应用和优化提供指导,从而促进合理的变构药物发现。