{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Vithani N"],"funding":["Division of Molecular and Cellular Biosciences","National Institute of General Medical Sciences","David and Lucile Packard Foundation","NIGMS NIH HHS"],"pagination":["3554-3562"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11034501"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["128(15)"],"pubmed_abstract":["Understanding how signaling proteins like G proteins are allosterically activated is a long-standing challenge with significant biological and medical implications. Because it is difficult to directly observe such dynamic processes, much of our understanding is based on inferences from a limited number of static snapshots of relevant protein structures, mutagenesis data, and patterns of sequence conservation. Here, we use computer simulations to directly interrogate allosteric coupling in six G protein α-subunit isoforms covering all four G protein families. To analyze this data, we introduce automated methods for inferring allosteric networks from simulation data and assessing how allostery is conserved or diverged among related protein isoforms. We find that the allosteric networks in these six G protein α subunits are largely conserved and consist of two pathways, which we call pathway-I and pathway-II. This analysis predicts that pathway-I is generally dominant over pathway-II, which we experimentally corroborate by showing that mutations to pathway-I perturb nucleotide exchange more than mutations to pathway-II. In the future, insights into unique elements of each G protein family could inform the design of isoform-specific drugs. More broadly, our tools should also be useful for studying allostery in other proteins and assessing the extent to which this allostery is conserved in related proteins."],"journal":["The journal of physical chemistry. B"],"pubmed_title":["G Protein Activation Occurs via a Largely Universal Mechanism."],"pmcid":["PMC11034501"],"funding_grant_id":["GM124007","R01 GM124093","GM124093","MCB-2218156","R01 GM124007"],"pubmed_authors":["Blumer KJ","Todd TD","Trent T","Singh S","Vithani N","Bowman GR"],"additional_accession":[]},"is_claimable":false,"name":"G Protein Activation Occurs via a Largely Universal Mechanism.","description":"Understanding how signaling proteins like G proteins are allosterically activated is a long-standing challenge with significant biological and medical implications. Because it is difficult to directly observe such dynamic processes, much of our understanding is based on inferences from a limited number of static snapshots of relevant protein structures, mutagenesis data, and patterns of sequence conservation. Here, we use computer simulations to directly interrogate allosteric coupling in six G protein α-subunit isoforms covering all four G protein families. To analyze this data, we introduce automated methods for inferring allosteric networks from simulation data and assessing how allostery is conserved or diverged among related protein isoforms. We find that the allosteric networks in these six G protein α subunits are largely conserved and consist of two pathways, which we call pathway-I and pathway-II. This analysis predicts that pathway-I is generally dominant over pathway-II, which we experimentally corroborate by showing that mutations to pathway-I perturb nucleotide exchange more than mutations to pathway-II. In the future, insights into unique elements of each G protein family could inform the design of isoform-specific drugs. More broadly, our tools should also be useful for studying allostery in other proteins and assessing the extent to which this allostery is conserved in related proteins.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Apr","modification":"2026-04-08T19:46:45.513Z","creation":"2025-07-11T03:04:04.057Z"},"accession":"S-EPMC11034501","cross_references":{"pubmed":["38580321"],"doi":["10.1021/acs.jpcb.3c07028"]}}