Lu Xun, Lan Xiaobing, Lu Shaoyong, Zhang Jian
School of Pharmacy, Ningxia Medical University, Yinchuan 750004, China; State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
School of Pharmacy, Ningxia Medical University, Yinchuan 750004, China.
Curr Opin Struct Biol. 2023 Dec;83:102701. doi: 10.1016/j.sbi.2023.102701. Epub 2023 Sep 14.
Allostery is a ubiquitous biological phenomenon where perturbation at topologically distal areas of a protein serves as a trigger to fine-tune the orthosteric site and thus regulate protein function. The investigation of allosteric regulation greatly enhances our understanding of human diseases and broadens avenue for drug discovery. For decades, owing to the difficulty in allostery characterization through serendipitous experimental screening, researchers have developed several innovative computational approaches, which proves to accelerate the elucidation of allostery. Herein, we review the state-of-the-art advance of computational methodologies for allostery study, with particular emphasis on promising trends emerging over the past two years. We expect this review will outline the latest landscape of allostery study and inspire researchers to further facilitate this field.
别构效应是一种普遍存在的生物学现象,其中蛋白质拓扑学上远端区域的扰动作为一种触发因素,用于微调正构位点,从而调节蛋白质功能。对别构调节的研究极大地增进了我们对人类疾病的理解,并拓宽了药物发现的途径。几十年来,由于通过偶然的实验筛选来表征别构效应存在困难,研究人员开发了几种创新的计算方法,事实证明这些方法能够加速对别构效应的阐明。在此,我们综述了别构研究计算方法的最新进展,特别强调过去两年中出现的有前景的趋势。我们期望这篇综述将勾勒出别构研究的最新概况,并激励研究人员进一步推动该领域的发展。