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Cross-Link Guided Molecular Modeling with ROSETTA
Chemical cross-links identified by mass spectrometry generate distance restraints that reveal low-resolution structural information on proteins and protein complexes. The technology to reliably generate such data has become mature and robust enough to shift the focus to the question of how these dis...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775805/ https://www.ncbi.nlm.nih.gov/pubmed/24069194 http://dx.doi.org/10.1371/journal.pone.0073411 |
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author | Kahraman, Abdullah Herzog, Franz Leitner, Alexander Rosenberger, George Aebersold, Ruedi Malmström, Lars |
author_facet | Kahraman, Abdullah Herzog, Franz Leitner, Alexander Rosenberger, George Aebersold, Ruedi Malmström, Lars |
author_sort | Kahraman, Abdullah |
collection | PubMed |
description | Chemical cross-links identified by mass spectrometry generate distance restraints that reveal low-resolution structural information on proteins and protein complexes. The technology to reliably generate such data has become mature and robust enough to shift the focus to the question of how these distance restraints can be best integrated into molecular modeling calculations. Here, we introduce three workflows for incorporating distance restraints generated by chemical cross-linking and mass spectrometry into ROSETTA protocols for comparative and de novo modeling and protein-protein docking. We demonstrate that the cross-link validation and visualization software Xwalk facilitates successful cross-link data integration. Besides the protocols we introduce XLdb, a database of chemical cross-links from 14 different publications with 506 intra-protein and 62 inter-protein cross-links, where each cross-link can be mapped on an experimental structure from the Protein Data Bank. Finally, we demonstrate on a protein-protein docking reference data set the impact of virtual cross-links on protein docking calculations and show that an inter-protein cross-link can reduce on average the RMSD of a docking prediction by 5.0 Å. The methods and results presented here provide guidelines for the effective integration of chemical cross-link data in molecular modeling calculations and should advance the structural analysis of particularly large and transient protein complexes via hybrid structural biology methods. |
format | Online Article Text |
id | pubmed-3775805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37758052013-09-25 Cross-Link Guided Molecular Modeling with ROSETTA Kahraman, Abdullah Herzog, Franz Leitner, Alexander Rosenberger, George Aebersold, Ruedi Malmström, Lars PLoS One Research Article Chemical cross-links identified by mass spectrometry generate distance restraints that reveal low-resolution structural information on proteins and protein complexes. The technology to reliably generate such data has become mature and robust enough to shift the focus to the question of how these distance restraints can be best integrated into molecular modeling calculations. Here, we introduce three workflows for incorporating distance restraints generated by chemical cross-linking and mass spectrometry into ROSETTA protocols for comparative and de novo modeling and protein-protein docking. We demonstrate that the cross-link validation and visualization software Xwalk facilitates successful cross-link data integration. Besides the protocols we introduce XLdb, a database of chemical cross-links from 14 different publications with 506 intra-protein and 62 inter-protein cross-links, where each cross-link can be mapped on an experimental structure from the Protein Data Bank. Finally, we demonstrate on a protein-protein docking reference data set the impact of virtual cross-links on protein docking calculations and show that an inter-protein cross-link can reduce on average the RMSD of a docking prediction by 5.0 Å. The methods and results presented here provide guidelines for the effective integration of chemical cross-link data in molecular modeling calculations and should advance the structural analysis of particularly large and transient protein complexes via hybrid structural biology methods. Public Library of Science 2013-09-17 /pmc/articles/PMC3775805/ /pubmed/24069194 http://dx.doi.org/10.1371/journal.pone.0073411 Text en © 2013 Kahraman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kahraman, Abdullah Herzog, Franz Leitner, Alexander Rosenberger, George Aebersold, Ruedi Malmström, Lars Cross-Link Guided Molecular Modeling with ROSETTA |
title | Cross-Link Guided Molecular Modeling with ROSETTA |
title_full | Cross-Link Guided Molecular Modeling with ROSETTA |
title_fullStr | Cross-Link Guided Molecular Modeling with ROSETTA |
title_full_unstemmed | Cross-Link Guided Molecular Modeling with ROSETTA |
title_short | Cross-Link Guided Molecular Modeling with ROSETTA |
title_sort | cross-link guided molecular modeling with rosetta |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3775805/ https://www.ncbi.nlm.nih.gov/pubmed/24069194 http://dx.doi.org/10.1371/journal.pone.0073411 |
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