Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix 138671, Singapore.
Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, #07-01, Matrix 138671, Singapore; Department of Biological Sciences (DBS), National University of Singapore (NUS), 8 Medical Drive, 117579, Singapore.
J Mol Biol. 2022 Sep 15;434(17):167692. doi: 10.1016/j.jmb.2022.167692. Epub 2022 Jun 20.
While the accelerating quest for precision medicine requires new individually targeting and selective drugs, and the ability to work with so-called undruggable targets, the realm of allosteric drugs meeting this need remains largely uncharted. Generalizing the observations on two major drug targets with widely observed inherent allostery, GPCRs and kinases, we describe and discuss basic allosteric modes of action that are universally applicable in all types of structures and functions. Using examples of Class A GPCRs and CMGC protein kinases, we show how Allosteric Signalling and Probing Fingerprints can be used to identify potential allosteric sites and reveal effector-leads that may serve as a starting point for the development of allosteric drugs targeting these regulatory sites. A set of distinct characteristics of allosteric ligands was established, which highlights the versatility of their design and make them advantageous before their orthosteric counterparts in personalized medicine. We argue that rational design of allosteric drugs should begin with the search for latent sites or design of non-natural binding sites followed by fragment-based design of allosteric ligands and by the mutual adjustment of the site-ligand pair in order to achieve required drug efficacy. On the basis of the perturbative nature and reversibility of allosteric communication, we propose a generic protocol for computational design of allosteric effectors, enabling also the allosteric tuning of biologics, in obtaining allosteric control over protein functions.
虽然精准医学的快速发展需要新的针对个体的靶向药物和选择性药物,以及与所谓的不可成药靶点合作的能力,但满足这一需求的变构药物领域在很大程度上仍未被探索。我们将对具有广泛观察到的固有变构性的两个主要药物靶点(G 蛋白偶联受体和蛋白激酶)的观察结果进行概括,描述并讨论了普遍适用于所有类型结构和功能的基本变构作用模式。我们使用 A 类 GPCR 和 CMGC 蛋白激酶的例子,展示了如何使用变构信号和探测指纹来识别潜在的变构位点,并揭示可能作为开发针对这些调节位点的变构药物的起点的效应物先导。确定了一组变构配体的独特特征,这突出了它们设计的多功能性,并使它们在个性化药物中的正构配体之前具有优势。我们认为,变构药物的合理设计应该从寻找潜在的结合位点或设计非天然结合位点开始,然后进行变构配体的基于片段的设计,并通过相互调整位点-配体对来实现所需的药物疗效。基于变构通讯的微扰性质和可逆性,我们提出了一种通用的变构效应物计算设计方案,也能够实现生物制剂的变构调节,从而获得对蛋白质功能的变构控制。