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Disorder–Order Transitions in Conformational Selection of a Peptide by Ebola Virus Nucleoprotein
[Image: see text] This study presents parallel-tempering lattice Monte Carlo simulations based on the side-chain-only (SICHO) model for calculating the conformational landscape of a 28-residue intrinsically disordered peptide extracted from the Ebola virus protein VP35. The central issue is the appl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097898/ https://www.ncbi.nlm.nih.gov/pubmed/32226846 http://dx.doi.org/10.1021/acsomega.9b03581 |
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author | Olson, Mark A. |
author_facet | Olson, Mark A. |
author_sort | Olson, Mark A. |
collection | PubMed |
description | [Image: see text] This study presents parallel-tempering lattice Monte Carlo simulations based on the side-chain-only (SICHO) model for calculating the conformational landscape of a 28-residue intrinsically disordered peptide extracted from the Ebola virus protein VP35. The central issue is the applicability of the SICHO potential energy function and in general coarse-grained (CG) representations of intermediate resolution for modeling large-scale conformational heterogeneity that includes both folded and unstructured peptide states. Crystallographic data shows that the peptide folds in a 4(10)-helix-turn-3(10)-helix topology upon complex formation with the Ebola virus nucleoprotein, whereas in isolation, the peptide transitions to a disordered conformational ensemble as observed in circular dichroism experiments. The simulation reveals a potential of mean force that displays conformational diversity along the helix-forming reaction coordinate consistent with disorder–order transitions, yet unexpectedly the bound topology is poorly sampled, and a population shift to an unstructured state incurs a significant free-energy penalty. Applying an elastic network interpolation model suggests a hybrid binding mechanism through conformational selection of the 4(10)-helix followed by an induced fit of the 3(10)-helix. A comparison of the CG model with previously reported all-atom CHARMM-based simulations highlights a lattice-based approach that is computationally fast and with the correct parameterization yields good resolution to modeling conformational plasticity. |
format | Online Article Text |
id | pubmed-7097898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-70978982020-03-27 Disorder–Order Transitions in Conformational Selection of a Peptide by Ebola Virus Nucleoprotein Olson, Mark A. ACS Omega [Image: see text] This study presents parallel-tempering lattice Monte Carlo simulations based on the side-chain-only (SICHO) model for calculating the conformational landscape of a 28-residue intrinsically disordered peptide extracted from the Ebola virus protein VP35. The central issue is the applicability of the SICHO potential energy function and in general coarse-grained (CG) representations of intermediate resolution for modeling large-scale conformational heterogeneity that includes both folded and unstructured peptide states. Crystallographic data shows that the peptide folds in a 4(10)-helix-turn-3(10)-helix topology upon complex formation with the Ebola virus nucleoprotein, whereas in isolation, the peptide transitions to a disordered conformational ensemble as observed in circular dichroism experiments. The simulation reveals a potential of mean force that displays conformational diversity along the helix-forming reaction coordinate consistent with disorder–order transitions, yet unexpectedly the bound topology is poorly sampled, and a population shift to an unstructured state incurs a significant free-energy penalty. Applying an elastic network interpolation model suggests a hybrid binding mechanism through conformational selection of the 4(10)-helix followed by an induced fit of the 3(10)-helix. A comparison of the CG model with previously reported all-atom CHARMM-based simulations highlights a lattice-based approach that is computationally fast and with the correct parameterization yields good resolution to modeling conformational plasticity. American Chemical Society 2020-03-13 /pmc/articles/PMC7097898/ /pubmed/32226846 http://dx.doi.org/10.1021/acsomega.9b03581 Text en Copyright © 2020 U.S. Government This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Olson, Mark A. Disorder–Order Transitions in Conformational Selection of a Peptide by Ebola Virus Nucleoprotein |
title | Disorder–Order Transitions
in Conformational Selection of a Peptide by Ebola
Virus Nucleoprotein |
title_full | Disorder–Order Transitions
in Conformational Selection of a Peptide by Ebola
Virus Nucleoprotein |
title_fullStr | Disorder–Order Transitions
in Conformational Selection of a Peptide by Ebola
Virus Nucleoprotein |
title_full_unstemmed | Disorder–Order Transitions
in Conformational Selection of a Peptide by Ebola
Virus Nucleoprotein |
title_short | Disorder–Order Transitions
in Conformational Selection of a Peptide by Ebola
Virus Nucleoprotein |
title_sort | disorder–order transitions
in conformational selection of a peptide by ebola
virus nucleoprotein |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097898/ https://www.ncbi.nlm.nih.gov/pubmed/32226846 http://dx.doi.org/10.1021/acsomega.9b03581 |
work_keys_str_mv | AT olsonmarka disorderordertransitionsinconformationalselectionofapeptidebyebolavirusnucleoprotein |