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Inhibitory Effect of Truncated Isoforms on GPCR Dimerization Predicted by Combinatorial Computational Strategy

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Specialty Biotechnology
Date 2024 Jan 4
PMID 38173876
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Abstract

G protein-coupled receptors (GPCRs) play a pivotal role in fundamental biological processes and disease development. GPCR isoforms, derived from alternative splicing, can exhibit distinct signaling patterns. Some highly-truncated isoforms can impact functional performance of full-length receptors, suggesting their intriguing regulatory roles. However, how these truncated isoforms interact with full-length counterparts remains largely unexplored. Here, we computationally investigated the interaction patterns of three human GPCRs from three different classes, ADORA1 (Class A), mGlu2 (Class C) and SMO (Class F) with their respective truncated isoforms because their homodimer structures have been experimentally determined, and they have truncated isoforms deposited and identified at protein level in Uniprot database. Combining the neural network-based AlphaFold2 and two physics-based protein-protein docking tools, we generated multiple complex structures and assessed the binding affinity in the context of atomistic molecular dynamics simulations. Our computational results suggested all the four studied truncated isoforms showed potent binding to their counterparts and overlapping interfaces with homodimers, indicating their strong potential to block homodimerization of their counterparts. Our study offers insights into functional significance of GPCR truncated isoforms and supports the ubiquity of their regulatory roles.

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References
1.
Valdes-Tresanco M, Valdes-Tresanco M, Valiente P, Moreno E . gmx_MMPBSA: A New Tool to Perform End-State Free Energy Calculations with GROMACS. J Chem Theory Comput. 2021; 17(10):6281-6291. DOI: 10.1021/acs.jctc.1c00645. View

2.
Jimenez-Garcia B, Roel-Touris J, Barradas-Bautista D . The LightDock Server: Artificial Intelligence-powered modeling of macromolecular interactions. Nucleic Acids Res. 2023; 51(W1):W298-W304. PMC: 10320125. DOI: 10.1093/nar/gkad327. View

3.
Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O . Highly accurate protein structure prediction with AlphaFold. Nature. 2021; 596(7873):583-589. PMC: 8371605. DOI: 10.1038/s41586-021-03819-2. View

4.
Odoemelam C, Percival B, Wallis H, Chang M, Ahmad Z, Scholey D . G-Protein coupled receptors: structure and function in drug discovery. RSC Adv. 2022; 10(60):36337-36348. PMC: 9057076. DOI: 10.1039/d0ra08003a. View

5.
Zhu W, Shenoy A, Kundrotas P, Elofsson A . Evaluation of AlphaFold-Multimer prediction on multi-chain protein complexes. Bioinformatics. 2023; 39(7). PMC: 10348836. DOI: 10.1093/bioinformatics/btad424. View