Proteins Structure Function and BioinformaticsBioinformaticsPeer-reviewed journal article
Unique Features of Different Classes of G-Protein-Coupled Receptors Revealed from Sequence Coevolutionary and Structural Analysis
Hung Nguyen DoiD, Allan HaldaneiD, Ronald M. LevyiD, Yinglong MiaoiD
Abstract
G-protein-coupled receptors (GPCRs) are the largest family of human membrane proteins and represent the primary targets of about one third of currently marketed drugs. Despite the critical importance, experimental structures have been determined for only a limited portion of GPCRs and functional mechanisms of GPCRs remain poorly understood. Here, we have constructed novel sequence coevolutionary models of the A and B classes of GPCRs and compared them with residue contact frequency maps generated with available experimental structures. Significant portions of structural residue contacts were successfully detected in the sequence-based covariational models. "Exception" residue contacts predicted from sequence coevolutionary models but not available structures added missing links that were important for GPCR activation and allosteric modulation. Moreover, we identified distinct residue contacts involving different sets of functional motifs for GPCR activation, such as the Na+ pocket, CWxP, DRY, PIF and NPxxY motifs in the class A and the HETx and PxxG motifs in the class B. Finally, we systematically uncovered critical residue contacts tuned by allosteric modulation in the two classes of GPCRs, including those from the activation motifs and particularly the extracellular and intracellular loops in class A GPCRs. These findings provide a promising framework for rational design of ligands to regulate GPCR activation and allosteric modulation. SignificanceG-protein-coupled receptors (GPCRs) play key roles in cellular signaling and serve as the primary targets of [~]1/3 of currently marketed drugs. In this work, we have presented the first analysis of both residue sequence coevolution and structural contact maps in different classes of GPCRs. We have inferred pathways for GPCR signal transduction that could not be determined from structural analysis alone. Distinct residue contacts have been identified in the signaling pathways of class A and B GPCRs. Our combined sequence coevolutionary and structural contact analysis has thus revealed important insights into the mechanism of GPCR signal transduction, which is expected to facilitate rational drug design of the GPCRs.
- organism: human
- assay: protein sequence
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 13
- FWCI
- 0.39
- Field percentile
- top 48%
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