Harini K, Jayashree S, Tiwari Vikas, Vishwanath Sneha, Sowdhamini Ramanathan
Department of Bioinformatics, National Centre for Biological Sciences, Bangalore, India.
Department of Biotechnology, Vellore Institute of Technology, Vellore, India.
Bioinform Biol Insights. 2021 Oct 28;15:11779322211037769. doi: 10.1177/11779322211037769. eCollection 2021.
G-protein-coupled receptors (GPCRs) are membrane proteins which play an important role in many cellular processes and are excellent drug targets. Despite the existence of several US Food and Drug Administration (FDA)-approved GPCR-targeting drugs, there is a continuing challenge of side effects owing to the nonspecific nature of drug binding. We have investigated the diversity of the ligand binding site for this class of proteins against their cognate ligands using computational docking, even if their structures are known already in the ligand-complexed form. The cognate ligand of some of these receptors dock at allosteric binding site with better score than the binding at the conservative site. Interestingly, amino acid residues at such allosteric binding site are not conserved across GPCR subfamilies. Such a computational approach can assist in the prediction of specific allosteric binders for GPCRs.
G蛋白偶联受体(GPCRs)是膜蛋白,在许多细胞过程中发挥重要作用,是理想的药物靶点。尽管有几种美国食品药品监督管理局(FDA)批准的靶向GPCR的药物,但由于药物结合的非特异性,副作用仍是一个持续存在的挑战。我们已经使用计算对接研究了这类蛋白质与其同源配体结合位点的多样性,即使它们的结构已经以配体复合物的形式为人所知。其中一些受体的同源配体在变构结合位点的对接得分比在保守位点的对接得分更高。有趣的是,这种变构结合位点的氨基酸残基在GPCR亚家族中并不保守。这种计算方法有助于预测GPCR的特异性变构结合剂。