可药性
计算生物学
类型(生物学)
化学
受体
生物
生物信息学
生物化学
基因
生态学
作者
Ieva Sutkevičiu̅tė,Ji Young Lee,Alex D. White,Christian Santa Maria,Karina A. Peña,Sofya Savransky,Pemra Doruker,Hongchun Li,Saifei Lei,Burak Kaynak,Chia‐Ling Tu,Lisa J. Clark,Subramaniam Sanker,Thomas J. Gardella,Wenhan Chang,İvet Bahar,Jean‐Pierre Vilardaga
标识
DOI:10.1038/s41589-021-00929-w
摘要
Class B G protein-coupled receptors (GPCRs) are notoriously difficult to target by small molecules because their large orthosteric peptide-binding pocket embedded deep within the transmembrane domain limits the identification and development of nonpeptide small molecule ligands. Using the parathyroid hormone type 1 receptor (PTHR) as a prototypic class B GPCR target, and a combination of molecular dynamics simulations and elastic network model-based methods, we demonstrate that PTHR druggability can be effectively addressed. Here we found a key mechanical site that modulates the collective dynamics of the receptor and used this ensemble of PTHR conformers to identify selective small molecules with strong negative allosteric and biased properties for PTHR signaling in cell and PTH actions in vivo. This study provides a computational pipeline to detect precise druggable sites and identify allosteric modulators of PTHR signaling that could be extended to GPCRs to expedite discoveries of small molecules as novel therapeutic candidates.
科研通智能强力驱动
Strongly Powered by AbleSci AI