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ID 66538
フルテキストURL
著者
Miyazaki, Yusuke Research Institute for Interdisciplinary Science, Okayama University
Shinoda, Wataru Research Institute for Interdisciplinary Science, Okayama University
抄録
Many coarse-grained (CG) molecular dynamics (MD) studies have been performed to investigate biological processes involving proteins and lipids. CG force fields (FFs) in these MD studies often use implicit or nonpolar water models to reduce computational costs. CG-MD using water models cannot properly describe electrostatic screening effects owing to the hydration of ionic segments and thus cannot appropriately describe molecular events involving water channels and pores through lipid membranes. To overcome this issue, we developed a protein model in the pSPICA FF, in which a polar CG water model showing the proper dielectric response was adopted. The developed CG model greatly improved the transfer free energy profiles of charged side chain analogues across the lipid membrane. Application studies on melittin-induced membrane pores and mechanosensitive channels in lipid membranes demonstrated that CG-MDs using the pSPICA FF correctly reproduced the structure and stability of the pores and channels. Furthermore, the adsorption behavior of the highly charged nona-arginine peptides on lipid membranes changed with salt concentration, indicating the pSPICA FF is also useful for simulating protein adsorption on membrane surfaces.
備考
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Chemical Information and Modeling, copyright © 2023 American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jcim.3c01611.
This fulltext file will be available in Dec. 2024.
発行日
2023-12-29
出版物タイトル
Journal of Chemical Information and Modeling
64巻
2号
出版者
American Chemical Society (ACS)
開始ページ
532
終了ページ
542
ISSN
1549-9596
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2023 American Chemical Society
論文のバージョン
author
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1021/acs.jcim.3c01611
Citation
J. Chem. Inf. Model. 2024, 64, 2, 532–542
助成機関名
Japan Society for the Promotion of Science
助成番号
JP 21H01880