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GaMD simulations as an alternative in the TFE-water mixture description

ABSTRACT: Context: 2,2,2-Trifluoroethanol has been widely used to study the structure and dynamic properties of intrinsically disordered proteins. Experimentally, it is known that TFE-water mixtures stabilize secondary structures of IDPs, and therefore, it allows the studying of conformational ensem...

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Autores principales: Pérez-Trejo, Itzel, Dominguez, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618327/
https://www.ncbi.nlm.nih.gov/pubmed/37906368
http://dx.doi.org/10.1007/s00894-023-05749-4
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author Pérez-Trejo, Itzel
Dominguez, Laura
author_facet Pérez-Trejo, Itzel
Dominguez, Laura
author_sort Pérez-Trejo, Itzel
collection PubMed
description ABSTRACT: Context: 2,2,2-Trifluoroethanol has been widely used to study the structure and dynamic properties of intrinsically disordered proteins. Experimentally, it is known that TFE-water mixtures stabilize secondary structures of IDPs, and therefore, it allows the studying of conformational ensembles of these proteins. In the last decades, molecular dynamic simulations have helped study the IDPs’ conformational ensemble. Unfortunately, conventional MD requires very long simulation times to describe the properties of IDPs. Therefore, a variety of accelerated sampling techniques have been developed and employed. The TFE-water mixture arrangement description through MD has faced substantial difficulties since emulating the TFE nanocrowding at certain TFE:H[Formula: see text] O ratios (around 15–40% of TFE). In this work, we determine the most suitable conditions that reproduce experimentally reported properties of TFE-water mixtures. We compared the employment of conventional MD and GaMD simulations and various water parameters. Our results show that the combination of parameters that better reproduce the experimental information is the combination of the TIP4PD water model and GaMD simulations. Therefore, these conditions help accurately describe the structural ensemble of IDPs in TFE-water mixtures. Methods: Conventional MD and GaMD simulations were performed under AMBER 18 software. The TFE and water molecules were described using GAFF2 and a variety of water models, such as TIP3P, TIP4P2005, TIP4PD, and TIP5P, respectively. The systems were simulated a 100 ns at 298 K. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-106183272023-11-02 GaMD simulations as an alternative in the TFE-water mixture description Pérez-Trejo, Itzel Dominguez, Laura J Mol Model Original Paper ABSTRACT: Context: 2,2,2-Trifluoroethanol has been widely used to study the structure and dynamic properties of intrinsically disordered proteins. Experimentally, it is known that TFE-water mixtures stabilize secondary structures of IDPs, and therefore, it allows the studying of conformational ensembles of these proteins. In the last decades, molecular dynamic simulations have helped study the IDPs’ conformational ensemble. Unfortunately, conventional MD requires very long simulation times to describe the properties of IDPs. Therefore, a variety of accelerated sampling techniques have been developed and employed. The TFE-water mixture arrangement description through MD has faced substantial difficulties since emulating the TFE nanocrowding at certain TFE:H[Formula: see text] O ratios (around 15–40% of TFE). In this work, we determine the most suitable conditions that reproduce experimentally reported properties of TFE-water mixtures. We compared the employment of conventional MD and GaMD simulations and various water parameters. Our results show that the combination of parameters that better reproduce the experimental information is the combination of the TIP4PD water model and GaMD simulations. Therefore, these conditions help accurately describe the structural ensemble of IDPs in TFE-water mixtures. Methods: Conventional MD and GaMD simulations were performed under AMBER 18 software. The TFE and water molecules were described using GAFF2 and a variety of water models, such as TIP3P, TIP4P2005, TIP4PD, and TIP5P, respectively. The systems were simulated a 100 ns at 298 K. GRAPHICAL ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2023-10-31 2023 /pmc/articles/PMC10618327/ /pubmed/37906368 http://dx.doi.org/10.1007/s00894-023-05749-4 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 Original Paper
Pérez-Trejo, Itzel
Dominguez, Laura
GaMD simulations as an alternative in the TFE-water mixture description
title GaMD simulations as an alternative in the TFE-water mixture description
title_full GaMD simulations as an alternative in the TFE-water mixture description
title_fullStr GaMD simulations as an alternative in the TFE-water mixture description
title_full_unstemmed GaMD simulations as an alternative in the TFE-water mixture description
title_short GaMD simulations as an alternative in the TFE-water mixture description
title_sort gamd simulations as an alternative in the tfe-water mixture description
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618327/
https://www.ncbi.nlm.nih.gov/pubmed/37906368
http://dx.doi.org/10.1007/s00894-023-05749-4
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