School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Biomolecules. 2021 Jun 23;11(7):929. doi: 10.3390/biom11070929.
Allosteric modulators have emerged with many potential pharmacological advantages as they do not compete the binding of agonist or antagonist to the orthosteric sites but ultimately affect downstream signaling. To identify allosteric modulators targeting an extra-helical binding site of the glucagon-like peptide-1 receptor (GLP-1R) within the membrane environment, the following two computational approaches were applied: structure-based virtual screening with consideration of lipid contacts and ligand-based virtual screening with the maintenance of specific allosteric pocket residue interactions. Verified by radiolabeled ligand binding and cAMP accumulation experiments, two negative allosteric modulators and seven positive allosteric modulators were discovered using structure-based and ligand-based virtual screening methods, respectively. The computational approach presented here could possibly be used to discover allosteric modulators of other G protein-coupled receptors.
变构调节剂具有许多潜在的药理学优势,因为它们不与激动剂或拮抗剂竞争与正位点的结合,而是最终影响下游信号传导。为了鉴定靶向位于膜环境中的胰高血糖素样肽-1 受体 (GLP-1R) 额外螺旋结合位点的变构调节剂,应用了以下两种计算方法:考虑脂质接触的基于结构的虚拟筛选和维持特定变构口袋残基相互作用的基于配体的虚拟筛选。通过放射性标记配体结合和 cAMP 积累实验验证,分别使用基于结构和基于配体的虚拟筛选方法发现了两种负变构调节剂和七种正变构调节剂。本文提出的计算方法可能可用于发现其他 G 蛋白偶联受体的变构调节剂。