Jul 2026· Journal of Chemical Information and Modeling· Vol 66, pp. 8410 - 8422· 0 citations· 43 references
Computer ScienceMedicine
TL;DR
This study leverage over 1200 three-dimensional structures of G protein-coupled receptors (GPCRs) to demonstrate that residues at the interface between GPCR and its ligand or G protein contain a higher density of frustrated residues compared to other structural regions in the receptor.
Abstract
The folded structure of a protein is understood to be an optimal energy state. However, previous studies have shown that certain amino acid residue positions that play a critical role in protein function are often in a suboptimal energy state or “frustrated”. Here, we leverage over 1200 three-dimensional structures of G protein-coupled receptors (GPCRs) to demonstrate that residues at the interface between GPCR and its ligand or G protein contain a higher density of frustrated residues compared to other structural regions in the receptor. Likewise, the Gα subunit of the trimeric G proteins shows multiple clusters of highly frustrated residues on its surface that overlap with their effector protein (Gbγ, RGS, Adenylyl cyclase, Ric8) binding interfaces. Our study highlights the use of protein frustration as one of the multiple structural properties to identify protein–protein interfaces and for prospective prediction of potential ligand binding sites.
Understanding how allosteric modulators influence protein dynamics is essential for guiding drug design. This work analyses a total of 45 μs of classical molecular dynamics simulations for four class A G-protein-coupled receptors (GPCRs), namely the Complement C5a receptor (C5AR1), the Purinergic Receptor P2Y (P2RY1),...
S. Peter, G. Chalhoub, Peter J. McCormick et al.· Journal of Chemical Informat...· 0 citations
This study maps the landscape of GPCR classification and function by translating the majority of the GPCR structures into structure graphs and analyzing over 2 million structural contacts to capture key aspects of the structural communication within the GPCR superfamily with implications in drug discovery.
Sara Gentile, Angelo Felline, Sara Mazzali et al.· JACS Au· 0 citations
It is suggested that Gα protein selectivity is an allosterically encoded property of GPCRs and provide a conceptual framework for designing ligands and receptors with tailored Gα protein-biased signaling.
Tegvir S. Boora, Han-Yu Chen, Aaron Cho et al.· bioRxiv· 0 citations
ProtLID2.0 is presented, a residue-specific pharmacophore framework that generates coordinate-based interaction preferences from molecular dynamics simulations of single-residue probes at receptor interfaces and uses these preferences to score docked complexes and identify cognate ligands.
S. Grudman, Christopher Mcclain, A. Fiser· Journal of Chemical Informat...· 0 citations
The model provides a computationally efficient framework for studying conformational ensembles and assembly of proteins at bilayer–water interfaces and is validated against Wimley–White free energies of transfer of hydrophobic peptides and against an experimentally refined conformational ensemble of a flexible membrane...
Riccardo Saltutti, G. Tesei· bioRxiv· 0 citations
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