Edelstein_2016_Biophys.J_111_902

Reference

Title : Biased Allostery - Edelstein_2016_Biophys.J_111_902
Author(s) : Edelstein SJ , Changeux JP
Ref : Biophysical Journal , 111 :902 , 2016
Abstract :

G-protein-coupled receptors (GPCRs) constitute a large group of integral membrane proteins that transduce extracellular signals from a wide range of agonists into targeted intracellular responses. Although the responses can vary depending on the category of G-proteins activated by a particular receptor, responses were also found to be triggered by interactions of the receptor with beta-arrestins. It was subsequently discovered that for the same receptor molecule (e.g., the beta-adrenergic receptor), some agonists have a propensity to specifically favor responses by G-proteins, others by beta-arrestins, as has now been extensively studied. This feature of the GPCR system is known as biased agonism and is subject to various interpretations, including agonist-induced conformational change versus selective stabilization of preexisting active conformations. Here, we explore a complete allosteric framework for biased agonism based on alternative preexisting conformations that bind more strongly, but nonexclusively, either G-proteins or beta-arrestins. The framework incorporates reciprocal effects among all interacting molecules. As a result, G-proteins and beta-arrestins are in steric competition for binding to the cytoplasmic surface of either the G-protein-favoring or beta-arrestin-favoring GPCR conformation. Moreover, through linkage relations, the strength of the interactions of G-proteins or beta-arrestins with the corresponding active conformation potentiates the apparent affinity for the agonist, effectively equating these two proteins to allosteric modulators. The balance between response alternatives can also be influenced by the physiological concentrations of either G-proteins or beta-arrestins, as well as by phosphorylation or interactions with positive or negative allosteric modulators. The nature of the interactions in the simulations presented suggests novel experimental tests to distinguish more fully among alternative mechanisms.

PubMedSearch : Edelstein_2016_Biophys.J_111_902
PubMedID: 27602718

Related information

Citations formats

Edelstein SJ, Changeux JP (2016)
Biased Allostery
Biophysical Journal 111 :902

Edelstein SJ, Changeux JP (2016)
Biophysical Journal 111 :902