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A novel approach to modeling side chain ensembles of the bifunctional spin label RX
We introduce a novel approach to modeling side chain ensembles of bifunctional spin labels. This approach utilizes rotamer libraries to generate side chain conformational ensembles. Because the bifunctional label is constrained by two attachment sites, the label is split into two monofunctional rota...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245940/ https://www.ncbi.nlm.nih.gov/pubmed/37292623 http://dx.doi.org/10.1101/2023.05.24.542139 |
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author | Tessmer, Maxx H. Stoll, Stefan |
author_facet | Tessmer, Maxx H. Stoll, Stefan |
author_sort | Tessmer, Maxx H. |
collection | PubMed |
description | We introduce a novel approach to modeling side chain ensembles of bifunctional spin labels. This approach utilizes rotamer libraries to generate side chain conformational ensembles. Because the bifunctional label is constrained by two attachment sites, the label is split into two monofunctional rotamers which are first attached to their respective sites, then rejoined by a local optimization in dihedral space. We validate this method against a set of previously published experimental data using the bifunctional spin label, RX. This method is relatively fast and can readily be used for both experimental analysis and protein modeling, providing significant advantages over modeling bifunctional labels with molecular dynamics simulations. Use of bifunctional labels for site directed spin labeling (SDSL) electron paramagnetic resonance (EPR) spectroscopy dramatically reduces label mobility, which can significantly improve resolution of small changes in protein backbone structure and dynamics. Coupling the use of bifunctional labels with side chain modeling methods allows for improved quantitative application of experimental SDSL EPR data to protein modeling. |
format | Online Article Text |
id | pubmed-10245940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102459402023-06-08 A novel approach to modeling side chain ensembles of the bifunctional spin label RX Tessmer, Maxx H. Stoll, Stefan bioRxiv Article We introduce a novel approach to modeling side chain ensembles of bifunctional spin labels. This approach utilizes rotamer libraries to generate side chain conformational ensembles. Because the bifunctional label is constrained by two attachment sites, the label is split into two monofunctional rotamers which are first attached to their respective sites, then rejoined by a local optimization in dihedral space. We validate this method against a set of previously published experimental data using the bifunctional spin label, RX. This method is relatively fast and can readily be used for both experimental analysis and protein modeling, providing significant advantages over modeling bifunctional labels with molecular dynamics simulations. Use of bifunctional labels for site directed spin labeling (SDSL) electron paramagnetic resonance (EPR) spectroscopy dramatically reduces label mobility, which can significantly improve resolution of small changes in protein backbone structure and dynamics. Coupling the use of bifunctional labels with side chain modeling methods allows for improved quantitative application of experimental SDSL EPR data to protein modeling. Cold Spring Harbor Laboratory 2023-05-24 /pmc/articles/PMC10245940/ /pubmed/37292623 http://dx.doi.org/10.1101/2023.05.24.542139 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Tessmer, Maxx H. Stoll, Stefan A novel approach to modeling side chain ensembles of the bifunctional spin label RX |
title | A novel approach to modeling side chain ensembles of the bifunctional spin label RX |
title_full | A novel approach to modeling side chain ensembles of the bifunctional spin label RX |
title_fullStr | A novel approach to modeling side chain ensembles of the bifunctional spin label RX |
title_full_unstemmed | A novel approach to modeling side chain ensembles of the bifunctional spin label RX |
title_short | A novel approach to modeling side chain ensembles of the bifunctional spin label RX |
title_sort | novel approach to modeling side chain ensembles of the bifunctional spin label rx |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245940/ https://www.ncbi.nlm.nih.gov/pubmed/37292623 http://dx.doi.org/10.1101/2023.05.24.542139 |
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