<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu Y</submitter><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>10452-10459</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9762399</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>126(49)</volume><pubmed_abstract>Transition state theory (TST) is widely employed for estimating the transition rate of a reaction when combined with free energy sampling techniques. A derivation of the transition theory rate expression for a general &lt;i>n&lt;/i>-dimensional case is presented in this work which specifically focuses on water-assisted proton transfer/transport reactions, especially for protein systems. Our work evaluates the TST prefactor calculated at the transition state dividing surface compared to one sampled, as an approximation, in the reactant state in four case studies of water-assisted proton transport inside membrane proteins and highlights the significant impact of the prefactor position dependence in proton transport processes.</pubmed_abstract><journal>The journal of physical chemistry. B</journal><pubmed_title>Generalized Transition State Theory Treatment of Water-Assisted Proton Transport Processes in Proteins.</pubmed_title><pmcid>PMC9762399</pmcid><funding_grant_id>R01 GM053148</funding_grant_id><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Voth GA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Generalized Transition State Theory Treatment of Water-Assisted Proton Transport Processes in Proteins.</name><description>Transition state theory (TST) is widely employed for estimating the transition rate of a reaction when combined with free energy sampling techniques. A derivation of the transition theory rate expression for a general &lt;i>n&lt;/i>-dimensional case is presented in this work which specifically focuses on water-assisted proton transfer/transport reactions, especially for protein systems. Our work evaluates the TST prefactor calculated at the transition state dividing surface compared to one sampled, as an approximation, in the reactant state in four case studies of water-assisted proton transport inside membrane proteins and highlights the significant impact of the prefactor position dependence in proton transport processes.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2026-06-03T09:29:50.867Z</modification><creation>2025-04-06T00:36:17.515Z</creation></dates><accession>S-EPMC9762399</accession><cross_references><pubmed>36459423</pubmed><doi>10.1021/acs.jpcb.2c06703</doi></cross_references></HashMap>