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タイトル: Extracting time series matching a small-angle X-ray scattering profile from trajectories of molecular dynamics simulations
著者: Shimizu, Masahiro
Okuda, Aya  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-6222-8364 (unconfirmed)
Morishima, Ken
Inoue, Rintaro  kyouindb  KAKEN_id
Sato, Nobuhiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-6960-6567 (unconfirmed)
Yunoki, Yasuhiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-4955-8796 (unconfirmed)
Urade, Reiko  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-9232-6176 (unconfirmed)
Sugiyama, Masaaki
著者名の別形: 清水, 将裕
奥田, 綾
守島, 健
井上, 倫太郎
佐藤, 信浩
柚木, 康弘
裏出, 令子
杉山, 正明
キーワード: Biophysics
Computational biophysics
Nanoscale biophysics
発行日: 2022
出版者: Springer Nature
誌名: Scientific Reports
巻: 12
論文番号: 9970
抄録: 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.
著作権等: © The Author(s) 2022
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.
URI: http://hdl.handle.net/2433/274915
DOI(出版社版): 10.1038/s41598-022-13982-9
PubMed ID: 35705644
出現コレクション:学術雑誌掲載論文等

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