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Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution

Many proteins contain multiple folded domains separated by flexible linkers, and the ability to describe the structure and conformational heterogeneity of such flexible systems pushes the limits of structural biology. Using the three-domain protein TIA-1 as an example, we here combine coarse-grained...

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Autores principales: Larsen, Andreas Haahr, Wang, Yong, Bottaro, Sandro, Grudinin, Sergei, Arleth, Lise, Lindorff-Larsen, Kresten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205321/
https://www.ncbi.nlm.nih.gov/pubmed/32339173
http://dx.doi.org/10.1371/journal.pcbi.1007870
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author Larsen, Andreas Haahr
Wang, Yong
Bottaro, Sandro
Grudinin, Sergei
Arleth, Lise
Lindorff-Larsen, Kresten
author_facet Larsen, Andreas Haahr
Wang, Yong
Bottaro, Sandro
Grudinin, Sergei
Arleth, Lise
Lindorff-Larsen, Kresten
author_sort Larsen, Andreas Haahr
collection PubMed
description Many proteins contain multiple folded domains separated by flexible linkers, and the ability to describe the structure and conformational heterogeneity of such flexible systems pushes the limits of structural biology. Using the three-domain protein TIA-1 as an example, we here combine coarse-grained molecular dynamics simulations with previously measured small-angle scattering data to study the conformation of TIA-1 in solution. We show that while the coarse-grained potential (Martini) in itself leads to too compact conformations, increasing the strength of protein-water interactions results in ensembles that are in very good agreement with experiments. We show how these ensembles can be refined further using a Bayesian/Maximum Entropy approach, and examine the robustness to errors in the energy function. In particular we find that as long as the initial simulation is relatively good, reweighting against experiments is very robust. We also study the relative information in X-ray and neutron scattering experiments and find that refining against the SAXS experiments leads to improvement in the SANS data. Our results suggest a general strategy for studying the conformation of multi-domain proteins in solution that combines coarse-grained simulations with small-angle X-ray scattering data that are generally most easy to obtain. These results may in turn be used to design further small-angle neutron scattering experiments that exploit contrast variation through (1)H/(2)H isotope substitutions.
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spelling pubmed-72053212020-05-12 Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution Larsen, Andreas Haahr Wang, Yong Bottaro, Sandro Grudinin, Sergei Arleth, Lise Lindorff-Larsen, Kresten PLoS Comput Biol Research Article Many proteins contain multiple folded domains separated by flexible linkers, and the ability to describe the structure and conformational heterogeneity of such flexible systems pushes the limits of structural biology. Using the three-domain protein TIA-1 as an example, we here combine coarse-grained molecular dynamics simulations with previously measured small-angle scattering data to study the conformation of TIA-1 in solution. We show that while the coarse-grained potential (Martini) in itself leads to too compact conformations, increasing the strength of protein-water interactions results in ensembles that are in very good agreement with experiments. We show how these ensembles can be refined further using a Bayesian/Maximum Entropy approach, and examine the robustness to errors in the energy function. In particular we find that as long as the initial simulation is relatively good, reweighting against experiments is very robust. We also study the relative information in X-ray and neutron scattering experiments and find that refining against the SAXS experiments leads to improvement in the SANS data. Our results suggest a general strategy for studying the conformation of multi-domain proteins in solution that combines coarse-grained simulations with small-angle X-ray scattering data that are generally most easy to obtain. These results may in turn be used to design further small-angle neutron scattering experiments that exploit contrast variation through (1)H/(2)H isotope substitutions. Public Library of Science 2020-04-27 /pmc/articles/PMC7205321/ /pubmed/32339173 http://dx.doi.org/10.1371/journal.pcbi.1007870 Text en © 2020 Larsen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Larsen, Andreas Haahr
Wang, Yong
Bottaro, Sandro
Grudinin, Sergei
Arleth, Lise
Lindorff-Larsen, Kresten
Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution
title Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution
title_full Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution
title_fullStr Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution
title_full_unstemmed Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution
title_short Combining molecular dynamics simulations with small-angle X-ray and neutron scattering data to study multi-domain proteins in solution
title_sort combining molecular dynamics simulations with small-angle x-ray and neutron scattering data to study multi-domain proteins in solution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205321/
https://www.ncbi.nlm.nih.gov/pubmed/32339173
http://dx.doi.org/10.1371/journal.pcbi.1007870
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