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Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations

Molecular dynamics (MD) simulation is widely used to complement ensemble-averaged experiments of intrinsically disordered proteins (IDPs). However, MD often suffers from limitations of inaccuracy. Here, we show that enhancing the sampling using Hamiltonian replica-exchange MD (HREMD) led to unbiased...

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Autores principales: Shrestha, Utsab R., Smith, Jeremy C., Petridis, Loukas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902620/
https://www.ncbi.nlm.nih.gov/pubmed/33623120
http://dx.doi.org/10.1038/s42003-021-01759-1
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author Shrestha, Utsab R.
Smith, Jeremy C.
Petridis, Loukas
author_facet Shrestha, Utsab R.
Smith, Jeremy C.
Petridis, Loukas
author_sort Shrestha, Utsab R.
collection PubMed
description Molecular dynamics (MD) simulation is widely used to complement ensemble-averaged experiments of intrinsically disordered proteins (IDPs). However, MD often suffers from limitations of inaccuracy. Here, we show that enhancing the sampling using Hamiltonian replica-exchange MD (HREMD) led to unbiased and accurate ensembles, reproducing small-angle scattering and NMR chemical shift experiments, for three IDPs of varying sequence properties using two recently optimized force fields, indicating the general applicability of HREMD for IDPs. We further demonstrate that, unlike HREMD, standard MD can reproduce experimental NMR chemical shifts, but not small-angle scattering data, suggesting chemical shifts are insufficient for testing the validity of IDP ensembles. Surprisingly, we reveal that despite differences in their sequence, the inter-chain statistics of all three IDPs are similar for short contour lengths (< 10 residues). The results suggest that the major hurdle of generating an accurate unbiased ensemble for IDPs has now been largely overcome.
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spelling pubmed-79026202021-03-11 Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations Shrestha, Utsab R. Smith, Jeremy C. Petridis, Loukas Commun Biol Article Molecular dynamics (MD) simulation is widely used to complement ensemble-averaged experiments of intrinsically disordered proteins (IDPs). However, MD often suffers from limitations of inaccuracy. Here, we show that enhancing the sampling using Hamiltonian replica-exchange MD (HREMD) led to unbiased and accurate ensembles, reproducing small-angle scattering and NMR chemical shift experiments, for three IDPs of varying sequence properties using two recently optimized force fields, indicating the general applicability of HREMD for IDPs. We further demonstrate that, unlike HREMD, standard MD can reproduce experimental NMR chemical shifts, but not small-angle scattering data, suggesting chemical shifts are insufficient for testing the validity of IDP ensembles. Surprisingly, we reveal that despite differences in their sequence, the inter-chain statistics of all three IDPs are similar for short contour lengths (< 10 residues). The results suggest that the major hurdle of generating an accurate unbiased ensemble for IDPs has now been largely overcome. Nature Publishing Group UK 2021-02-23 /pmc/articles/PMC7902620/ /pubmed/33623120 http://dx.doi.org/10.1038/s42003-021-01759-1 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shrestha, Utsab R.
Smith, Jeremy C.
Petridis, Loukas
Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
title Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
title_full Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
title_fullStr Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
title_full_unstemmed Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
title_short Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
title_sort full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902620/
https://www.ncbi.nlm.nih.gov/pubmed/33623120
http://dx.doi.org/10.1038/s42003-021-01759-1
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