<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yousefi R</submitter><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><funding>Cancer Prevention and Research Institute of Texas</funding><funding>National Science Foundation</funding><pagination>104110</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8439718</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>155(10)</volume><pubmed_abstract>The proximal distribution function (pDF) quantifies the probability of finding a solvent molecule in the vicinity of solutes. The approach constitutes a hierarchically organized theory for constructing approximate solvation structures around solutes. Given the assumption of universality of atom cluster-specific solvation, reconstruction of the solvent distribution around arbitrary molecules provides a computationally convenient route to solvation thermodynamics. Previously, such solvent reconstructions usually considered the contribution of the nearest-neighbor distribution only. We extend the pDF reconstruction algorithm to terms including next-nearest-neighbor contribution. As a test, small molecules (alanine and butane) are examined. The analysis is then extended to include the protein </pubmed_abstract><journal>The Journal of chemical physics</journal><pubmed_title>Contributions of higher-order proximal distribution functions to solvent structure around proteins.</pubmed_title><pmcid>PMC8439718</pmcid><funding_grant_id>CHE-1709310</funding_grant_id><funding_grant_id>RP170593</funding_grant_id><funding_grant_id>GM037657</funding_grant_id><funding_grant_id>R01 GM037657</funding_grant_id><pubmed_authors>Yousefi R</pubmed_authors><pubmed_authors>Pettitt BM</pubmed_authors><pubmed_authors>Lynch GC</pubmed_authors><pubmed_authors>Galbraith M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Contributions of higher-order proximal distribution functions to solvent structure around proteins.</name><description>The proximal distribution function (pDF) quantifies the probability of finding a solvent molecule in the vicinity of solutes. The approach constitutes a hierarchically organized theory for constructing approximate solvation structures around solutes. Given the assumption of universality of atom cluster-specific solvation, reconstruction of the solvent distribution around arbitrary molecules provides a computationally convenient route to solvation thermodynamics. Previously, such solvent reconstructions usually considered the contribution of the nearest-neighbor distribution only. We extend the pDF reconstruction algorithm to terms including next-nearest-neighbor contribution. As a test, small molecules (alanine and butane) are examined. The analysis is then extended to include the protein </description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Sep</publication><modification>2025-04-26T07:18:16.972Z</modification><creation>2025-04-06T12:12:48.349Z</creation></dates><accession>S-EPMC8439718</accession><cross_references><pubmed>34525817</pubmed><doi>10.1063/5.0062580</doi></cross_references></HashMap>