Research reveals how allostery impacts selectivity in GPCR-G protein interactions, suggesting new engineering possibilities.
Selectivity in GPCR-G protein coupling is widely regarded as a solved problem that derives from a combination of structural hotspot pairings and dynamics at the protein-protein interface. Here, using interpretable machine learning Bayesian Network model with Molecular Dynamics simulations and experiments, we reveal the influence of distant residue communities within the G protein core on coupling selectivity. We observed distinct cooperative hotspot residues across different Gα protein subtypes, including key regions such as the N-terminus, h4s6 loop, and H5 helix. These results demonstrate the intricate allosteric dependencies between the core and the H5 helix in stabilizing selective interactions. The functional significance of these cooperative regions is validated through subtype swapping mutations. By introducing targeted Gαq like mutations in the Gαs core, we successfully altered receptor coupling profile to signal through Gαq. Our findings emphasize that cooperative interactions in the Gα core are not only crucial for selectivity but can also be leveraged to engineer G proteins with tailored coupling preferences.
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Mukhaleva et al. (2025) studied this question.
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