<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hicks A</submitter><funding>National Institutes of Health</funding><pagination>E946</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7355643</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(6)</volume><pubmed_abstract>How sequences of intrinsically disordered proteins (IDPs) code for their conformational dynamics is poorly understood. Here, we combined NMR spectroscopy, small-angle X-ray scattering (SAXS), and molecular dynamics (MD) simulations to characterize the conformations and dynamics of ChiZ1-64. MD simulations, first validated by SAXS and secondary chemical shift data, found scant α-helices or β-strands but a considerable propensity for polyproline II (PPII) torsion angles. Importantly, several blocks of residues (e.g., 11-29) emerge as "correlated segments", identified by their frequent formation of PPII stretches, salt bridges, cation-π interactions, and sidechain-backbone hydrogen bonds. NMR relaxation experiments showed non-uniform transverse relaxation rates (R2s) and nuclear Overhauser enhancements (NOEs) along the sequence (e.g., high R2s and NOEs for residues 11-14 and 23-28). MD simulations further revealed that the extent of segmental correlation is sequence-dependent; segments where internal interactions are more prevalent manifest elevated "collective" motions on the 5-10 ns timescale and suppressed local motions on the sub-ns timescale. Amide proton exchange rates provides corroboration, with residues in the most correlated segment exhibiting the highest protection factors. We propose the correlated segment as a defining feature for the conformations and dynamics of IDPs.</pubmed_abstract><journal>Biomolecules</journal><pubmed_title>Sequence-Dependent Correlated Segments in the Intrinsically Disordered Region of ChiZ.</pubmed_title><pmcid>PMC7355643</pmcid><funding_grant_id>GM118091; AI119178</funding_grant_id><pubmed_authors>Escobar CA</pubmed_authors><pubmed_authors>Cross TA</pubmed_authors><pubmed_authors>Zhou HX</pubmed_authors><pubmed_authors>Hicks A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Sequence-Dependent Correlated Segments in the Intrinsically Disordered Region of ChiZ.</name><description>How sequences of intrinsically disordered proteins (IDPs) code for their conformational dynamics is poorly understood. Here, we combined NMR spectroscopy, small-angle X-ray scattering (SAXS), and molecular dynamics (MD) simulations to characterize the conformations and dynamics of ChiZ1-64. MD simulations, first validated by SAXS and secondary chemical shift data, found scant α-helices or β-strands but a considerable propensity for polyproline II (PPII) torsion angles. Importantly, several blocks of residues (e.g., 11-29) emerge as "correlated segments", identified by their frequent formation of PPII stretches, salt bridges, cation-π interactions, and sidechain-backbone hydrogen bonds. NMR relaxation experiments showed non-uniform transverse relaxation rates (R2s) and nuclear Overhauser enhancements (NOEs) along the sequence (e.g., high R2s and NOEs for residues 11-14 and 23-28). MD simulations further revealed that the extent of segmental correlation is sequence-dependent; segments where internal interactions are more prevalent manifest elevated "collective" motions on the 5-10 ns timescale and suppressed local motions on the sub-ns timescale. Amide proton exchange rates provides corroboration, with residues in the most correlated segment exhibiting the highest protection factors. We propose the correlated segment as a defining feature for the conformations and dynamics of IDPs.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jun</publication><modification>2025-04-26T08:14:54.229Z</modification><creation>2025-04-06T12:37:20.991Z</creation></dates><accession>S-EPMC7355643</accession><cross_references><pubmed>32585849</pubmed><doi>10.3390/biom10060946</doi></cross_references></HashMap>