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Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations

Solving structural ensembles of flexible biomolecules is a challenging research area. Here, we propose a method to obtain possible structural ensembles of a biomolecule based on small-angle X-ray scattering (SAXS) and molecular dynamics simulations. Our idea is to clip a time series that matches a S...

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Autores principales: Shimizu, Masahiro, Okuda, Aya, Morishima, Ken, Inoue, Rintaro, Sato, Nobuhiro, Yunoki, Yasuhiro, Urade, Reiko, Sugiyama, Masaaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200744/
https://www.ncbi.nlm.nih.gov/pubmed/35705644
http://dx.doi.org/10.1038/s41598-022-13982-9
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author Shimizu, Masahiro
Okuda, Aya
Morishima, Ken
Inoue, Rintaro
Sato, Nobuhiro
Yunoki, Yasuhiro
Urade, Reiko
Sugiyama, Masaaki
author_facet Shimizu, Masahiro
Okuda, Aya
Morishima, Ken
Inoue, Rintaro
Sato, Nobuhiro
Yunoki, Yasuhiro
Urade, Reiko
Sugiyama, Masaaki
author_sort Shimizu, Masahiro
collection PubMed
description Solving structural ensembles of flexible biomolecules is a challenging research area. Here, we propose a method to obtain possible structural ensembles of a biomolecule based on small-angle X-ray scattering (SAXS) and molecular dynamics simulations. Our idea is to clip a time series that matches a SAXS profile from a simulation trajectory. To examine its practicability, we applied our idea to a multi-domain protein ER-60 and successfully extracted time series longer than 1 micro second from trajectories of coarse-grained molecular dynamics simulations. In the extracted time series, the domain conformation was distributed continuously and smoothly in a conformational space. Preferred domain conformations were also observed. Diversity among scattering curves calculated from each ER-60 structure was interpreted to reflect an open-close motion of the protein. Although our approach did not provide a unique solution for the structural ensemble of the biomolecule, each extracted time series can be an element of the real behavior of ER-60. Considering its low computational cost, our approach will play a key role to identify biomolecular dynamics by integrating SAXS, simulations, and other experiments.
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spelling pubmed-92007442022-06-17 Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations Shimizu, Masahiro Okuda, Aya Morishima, Ken Inoue, Rintaro Sato, Nobuhiro Yunoki, Yasuhiro Urade, Reiko Sugiyama, Masaaki Sci Rep Article Solving structural ensembles of flexible biomolecules is a challenging research area. Here, we propose a method to obtain possible structural ensembles of a biomolecule based on small-angle X-ray scattering (SAXS) and molecular dynamics simulations. Our idea is to clip a time series that matches a SAXS profile from a simulation trajectory. To examine its practicability, we applied our idea to a multi-domain protein ER-60 and successfully extracted time series longer than 1 micro second from trajectories of coarse-grained molecular dynamics simulations. In the extracted time series, the domain conformation was distributed continuously and smoothly in a conformational space. Preferred domain conformations were also observed. Diversity among scattering curves calculated from each ER-60 structure was interpreted to reflect an open-close motion of the protein. Although our approach did not provide a unique solution for the structural ensemble of the biomolecule, each extracted time series can be an element of the real behavior of ER-60. Considering its low computational cost, our approach will play a key role to identify biomolecular dynamics by integrating SAXS, simulations, and other experiments. Nature Publishing Group UK 2022-06-15 /pmc/articles/PMC9200744/ /pubmed/35705644 http://dx.doi.org/10.1038/s41598-022-13982-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Shimizu, Masahiro
Okuda, Aya
Morishima, Ken
Inoue, Rintaro
Sato, Nobuhiro
Yunoki, Yasuhiro
Urade, Reiko
Sugiyama, Masaaki
Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
title Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
title_full Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
title_fullStr Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
title_full_unstemmed Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
title_short Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
title_sort extracting time series matching a small-angle x-ray scattering profile from trajectories of molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200744/
https://www.ncbi.nlm.nih.gov/pubmed/35705644
http://dx.doi.org/10.1038/s41598-022-13982-9
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