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Automated and optimally FRET-assisted structural modeling

FRET experiments can provide state-specific structural information of complex dynamic biomolecular assemblies. However, to overcome the sparsity of FRET experiments, they need to be combined with computer simulations. We introduce a program suite with (i) an automated design tool for FRET experiment...

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Autores principales: Dimura, Mykola, Peulen, Thomas-Otavio, Sanabria, Hugo, Rodnin, Dmitro, Hemmen, Katherina, Hanke, Christian A., Seidel, Claus A. M., Gohlke, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589535/
https://www.ncbi.nlm.nih.gov/pubmed/33106483
http://dx.doi.org/10.1038/s41467-020-19023-1
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author Dimura, Mykola
Peulen, Thomas-Otavio
Sanabria, Hugo
Rodnin, Dmitro
Hemmen, Katherina
Hanke, Christian A.
Seidel, Claus A. M.
Gohlke, Holger
author_facet Dimura, Mykola
Peulen, Thomas-Otavio
Sanabria, Hugo
Rodnin, Dmitro
Hemmen, Katherina
Hanke, Christian A.
Seidel, Claus A. M.
Gohlke, Holger
author_sort Dimura, Mykola
collection PubMed
description FRET experiments can provide state-specific structural information of complex dynamic biomolecular assemblies. However, to overcome the sparsity of FRET experiments, they need to be combined with computer simulations. We introduce a program suite with (i) an automated design tool for FRET experiments, which determines how many and which FRET pairs should be used to minimize the uncertainty and maximize the accuracy of an integrative structure, (ii) an efficient approach for FRET-assisted coarse-grained structural modeling, and all-atom molecular dynamics simulations-based refinement, and (iii) a quantitative quality estimate for judging the accuracy of FRET-derived structures as opposed to precision. We benchmark our tools against simulated and experimental data of proteins with multiple conformational states and demonstrate an accuracy of ~3 Å RMSD(Cα) against X-ray structures for sets of 15 to 23 FRET pairs. Free and open-source software for the introduced workflow is available at https://github.com/Fluorescence-Tools. A web server for FRET-assisted structural modeling of proteins is available at http://nmsim.de.
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spelling pubmed-75895352020-11-10 Automated and optimally FRET-assisted structural modeling Dimura, Mykola Peulen, Thomas-Otavio Sanabria, Hugo Rodnin, Dmitro Hemmen, Katherina Hanke, Christian A. Seidel, Claus A. M. Gohlke, Holger Nat Commun Article FRET experiments can provide state-specific structural information of complex dynamic biomolecular assemblies. However, to overcome the sparsity of FRET experiments, they need to be combined with computer simulations. We introduce a program suite with (i) an automated design tool for FRET experiments, which determines how many and which FRET pairs should be used to minimize the uncertainty and maximize the accuracy of an integrative structure, (ii) an efficient approach for FRET-assisted coarse-grained structural modeling, and all-atom molecular dynamics simulations-based refinement, and (iii) a quantitative quality estimate for judging the accuracy of FRET-derived structures as opposed to precision. We benchmark our tools against simulated and experimental data of proteins with multiple conformational states and demonstrate an accuracy of ~3 Å RMSD(Cα) against X-ray structures for sets of 15 to 23 FRET pairs. Free and open-source software for the introduced workflow is available at https://github.com/Fluorescence-Tools. A web server for FRET-assisted structural modeling of proteins is available at http://nmsim.de. Nature Publishing Group UK 2020-10-26 /pmc/articles/PMC7589535/ /pubmed/33106483 http://dx.doi.org/10.1038/s41467-020-19023-1 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Dimura, Mykola
Peulen, Thomas-Otavio
Sanabria, Hugo
Rodnin, Dmitro
Hemmen, Katherina
Hanke, Christian A.
Seidel, Claus A. M.
Gohlke, Holger
Automated and optimally FRET-assisted structural modeling
title Automated and optimally FRET-assisted structural modeling
title_full Automated and optimally FRET-assisted structural modeling
title_fullStr Automated and optimally FRET-assisted structural modeling
title_full_unstemmed Automated and optimally FRET-assisted structural modeling
title_short Automated and optimally FRET-assisted structural modeling
title_sort automated and optimally fret-assisted structural modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589535/
https://www.ncbi.nlm.nih.gov/pubmed/33106483
http://dx.doi.org/10.1038/s41467-020-19023-1
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