<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lesovoy D</submitter><funding>Swedish Foundation for Strategic Research</funding><funding>RSF</funding><funding>Cancer och Allergi Fonden</funding><funding>Swedish Cancer Society</funding><funding>Swedish Research Council</funding><pagination>8917</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12469643</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(18)</volume><pubmed_abstract>Conformational heterogeneity is essential for protein function, yet validating theoretical molecular dynamics (MD) ensembles remains a significant challenge. In this study, we present an approach that integrates free MD simulations, starting from an AlphaFold-generated structure, with refined experimental NMR-relaxation data to identify biologically relevant holistic time-resolved 4D conformational ensembles. Specifically, we select trajectory segments (RMSD plateaus) consistent with experimental observables. For the extracellular region of &lt;i>Streptococcus pneumoniae&lt;/i> PsrSp, we found that only specific segments of the long MD trajectory aligned well with experimental data. The resulting ensembles revealed two regions with increased flexibility, both of which play important functional roles.</pubmed_abstract><journal>International journal of molecular sciences</journal><pubmed_title>Accurate Protein Dynamic Conformational Ensembles: Combining AlphaFold, MD, and Amide &amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N(&amp;lt;sup&amp;gt;1&amp;lt;/sup&amp;gt;H) NMR Relaxation.</pubmed_title><pmcid>PMC12469643</pmcid><funding_grant_id>Cancer och Allergi Fonden 10399</funding_grant_id><funding_grant_id>Swedish Research Council № 2021-05061; 2018-02874; 2023-03485; 2024-06251</funding_grant_id><funding_grant_id>Swedish Cancer Society 21 1605 Pj 01 H</funding_grant_id><funding_grant_id>RSF 24-13-00413</funding_grant_id><funding_grant_id>Swedish Foundation for Strategic Research grant ITM17-0218</funding_grant_id><pubmed_authors>Sala BM</pubmed_authors><pubmed_authors>Orekhov V</pubmed_authors><pubmed_authors>Agback P</pubmed_authors><pubmed_authors>Achour A</pubmed_authors><pubmed_authors>Roshchin K</pubmed_authors><pubmed_authors>Sandalova T</pubmed_authors><pubmed_authors>Lesovoy D</pubmed_authors><pubmed_authors>Agback T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Accurate Protein Dynamic Conformational Ensembles: Combining AlphaFold, MD, and Amide &amp;lt;sup&amp;gt;15&amp;lt;/sup&amp;gt;N(&amp;lt;sup&amp;gt;1&amp;lt;/sup&amp;gt;H) NMR Relaxation.</name><description>Conformational heterogeneity is essential for protein function, yet validating theoretical molecular dynamics (MD) ensembles remains a significant challenge. In this study, we present an approach that integrates free MD simulations, starting from an AlphaFold-generated structure, with refined experimental NMR-relaxation data to identify biologically relevant holistic time-resolved 4D conformational ensembles. Specifically, we select trajectory segments (RMSD plateaus) consistent with experimental observables. For the extracellular region of &lt;i>Streptococcus pneumoniae&lt;/i> PsrSp, we found that only specific segments of the long MD trajectory aligned well with experimental data. The resulting ensembles revealed two regions with increased flexibility, both of which play important functional roles.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-05-02T03:19:24.706Z</modification><creation>2026-05-02T03:11:45.622Z</creation></dates><accession>S-EPMC12469643</accession><cross_references><pubmed>41009484</pubmed><doi>10.3390/ijms26188917</doi></cross_references></HashMap>