Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784728132576608256 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9200744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT shimizumasahiro extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT okudaaya extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT morishimaken extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT inouerintaro extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT satonobuhiro extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT yunokiyasuhiro extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT uradereiko extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations AT sugiyamamasaaki extractingtimeseriesmatchingasmallanglexrayscatteringprofilefromtrajectoriesofmoleculardynamicssimulations |