Cargando…

Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region

Intrinsically Disordered Proteins (IDPs) play crucial roles in numerous diseases like Alzheimer's and ALS by forming irreversible amyloid fibrils. The effectiveness of force fields (FFs) developed for globular proteins and their modified versions for IDPs varies depending on the specific protei...

Descripción completa

Detalles Bibliográficos
Autores principales: Chan-Yao-Chong, Maud, Chan, Justin, Kono, Hidetoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468508/
https://www.ncbi.nlm.nih.gov/pubmed/37648703
http://dx.doi.org/10.1038/s41598-023-40801-6
_version_ 1785099250626985984
author Chan-Yao-Chong, Maud
Chan, Justin
Kono, Hidetoshi
author_facet Chan-Yao-Chong, Maud
Chan, Justin
Kono, Hidetoshi
author_sort Chan-Yao-Chong, Maud
collection PubMed
description Intrinsically Disordered Proteins (IDPs) play crucial roles in numerous diseases like Alzheimer's and ALS by forming irreversible amyloid fibrils. The effectiveness of force fields (FFs) developed for globular proteins and their modified versions for IDPs varies depending on the specific protein. This study assesses 13 FFs, including AMBER and CHARMM, by simulating the R2 region of the FUS-LC domain (R2-FUS-LC region), an IDP implicated in ALS. Due to the flexibility of the region, we show that utilizing multiple measures, which evaluate the local and global conformations, and combining them together into a final score are important for a comprehensive evaluation of force fields. The results suggest c36m2021s3p with mTIP3p water model is the most balanced FF, capable of generating various conformations compatible with known ones. In addition, the mTIP3P water model is computationally more efficient than those of top-ranked AMBER FFs with four-site water models. The evaluation also reveals that AMBER FFs tend to generate more compact conformations compared to CHARMM FFs but also more non-native contacts. The top-ranking AMBER and CHARMM FFs can reproduce intra-peptide contacts but underperform for inter-peptide contacts, indicating there is room for improvement.
format Online
Article
Text
id pubmed-10468508
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-104685082023-09-01 Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region Chan-Yao-Chong, Maud Chan, Justin Kono, Hidetoshi Sci Rep Article Intrinsically Disordered Proteins (IDPs) play crucial roles in numerous diseases like Alzheimer's and ALS by forming irreversible amyloid fibrils. The effectiveness of force fields (FFs) developed for globular proteins and their modified versions for IDPs varies depending on the specific protein. This study assesses 13 FFs, including AMBER and CHARMM, by simulating the R2 region of the FUS-LC domain (R2-FUS-LC region), an IDP implicated in ALS. Due to the flexibility of the region, we show that utilizing multiple measures, which evaluate the local and global conformations, and combining them together into a final score are important for a comprehensive evaluation of force fields. The results suggest c36m2021s3p with mTIP3p water model is the most balanced FF, capable of generating various conformations compatible with known ones. In addition, the mTIP3P water model is computationally more efficient than those of top-ranked AMBER FFs with four-site water models. The evaluation also reveals that AMBER FFs tend to generate more compact conformations compared to CHARMM FFs but also more non-native contacts. The top-ranking AMBER and CHARMM FFs can reproduce intra-peptide contacts but underperform for inter-peptide contacts, indicating there is room for improvement. Nature Publishing Group UK 2023-08-30 /pmc/articles/PMC10468508/ /pubmed/37648703 http://dx.doi.org/10.1038/s41598-023-40801-6 Text en © The Author(s) 2023 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
Chan-Yao-Chong, Maud
Chan, Justin
Kono, Hidetoshi
Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region
title Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region
title_full Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region
title_fullStr Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region
title_full_unstemmed Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region
title_short Benchmarking of force fields to characterize the intrinsically disordered R2-FUS-LC region
title_sort benchmarking of force fields to characterize the intrinsically disordered r2-fus-lc region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468508/
https://www.ncbi.nlm.nih.gov/pubmed/37648703
http://dx.doi.org/10.1038/s41598-023-40801-6
work_keys_str_mv AT chanyaochongmaud benchmarkingofforcefieldstocharacterizetheintrinsicallydisorderedr2fuslcregion
AT chanjustin benchmarkingofforcefieldstocharacterizetheintrinsicallydisorderedr2fuslcregion
AT konohidetoshi benchmarkingofforcefieldstocharacterizetheintrinsicallydisorderedr2fuslcregion