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Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration
Proteins can be oriented in the gas phase using strong electric fields, which brings advantages for structure determination using X-ray free electron lasers. Both the vacuum conditions and the electric-field exposure risk damaging the protein structures. Here, we employ molecular dynamics simulation...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264475/ https://www.ncbi.nlm.nih.gov/pubmed/37031302 http://dx.doi.org/10.1007/s10930-023-10110-y |
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author | Brodmerkel, Maxim N. De Santis, Emiliano Caleman, Carl Marklund, Erik G. |
author_facet | Brodmerkel, Maxim N. De Santis, Emiliano Caleman, Carl Marklund, Erik G. |
author_sort | Brodmerkel, Maxim N. |
collection | PubMed |
description | Proteins can be oriented in the gas phase using strong electric fields, which brings advantages for structure determination using X-ray free electron lasers. Both the vacuum conditions and the electric-field exposure risk damaging the protein structures. Here, we employ molecular dynamics simulations to rehydrate and relax vacuum and electric-field exposed proteins in aqueous solution, which simulates a refinement of structure models derived from oriented gas-phase proteins. We find that the impact of the strong electric fields on the protein structures is of minor importance after rehydration, compared to that of vacuum exposure and ionization in electrospraying. The structures did not fully relax back to their native structure in solution on the simulated timescales of 200 ns, but they recover several features, including native-like intra-protein contacts, which suggests that the structures remain in a state from which the fully native structure is accessible. Our findings imply that the electric fields used in native mass spectrometry are well below a destructive level, and suggest that structures inferred from X-ray diffraction from gas-phase proteins are relevant for solution and in vivo conditions, at least after in silico rehydration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10930-023-10110-y. |
format | Online Article Text |
id | pubmed-10264475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102644752023-06-15 Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration Brodmerkel, Maxim N. De Santis, Emiliano Caleman, Carl Marklund, Erik G. Protein J Article Proteins can be oriented in the gas phase using strong electric fields, which brings advantages for structure determination using X-ray free electron lasers. Both the vacuum conditions and the electric-field exposure risk damaging the protein structures. Here, we employ molecular dynamics simulations to rehydrate and relax vacuum and electric-field exposed proteins in aqueous solution, which simulates a refinement of structure models derived from oriented gas-phase proteins. We find that the impact of the strong electric fields on the protein structures is of minor importance after rehydration, compared to that of vacuum exposure and ionization in electrospraying. The structures did not fully relax back to their native structure in solution on the simulated timescales of 200 ns, but they recover several features, including native-like intra-protein contacts, which suggests that the structures remain in a state from which the fully native structure is accessible. Our findings imply that the electric fields used in native mass spectrometry are well below a destructive level, and suggest that structures inferred from X-ray diffraction from gas-phase proteins are relevant for solution and in vivo conditions, at least after in silico rehydration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10930-023-10110-y. Springer US 2023-04-08 2023 /pmc/articles/PMC10264475/ /pubmed/37031302 http://dx.doi.org/10.1007/s10930-023-10110-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Brodmerkel, Maxim N. De Santis, Emiliano Caleman, Carl Marklund, Erik G. Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration |
title | Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration |
title_full | Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration |
title_fullStr | Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration |
title_full_unstemmed | Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration |
title_short | Rehydration Post-orientation: Investigating Field-Induced Structural Changes via Computational Rehydration |
title_sort | rehydration post-orientation: investigating field-induced structural changes via computational rehydration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264475/ https://www.ncbi.nlm.nih.gov/pubmed/37031302 http://dx.doi.org/10.1007/s10930-023-10110-y |
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