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Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)

Determining the structure of a protein by any method requires various contributions from experimental and computational sides. In a recent study, high-density cross-linking/mass spectrometry (HD-CLMS) data in combination with ab initio structure prediction determined the structure of human serum alb...

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Autores principales: Belsom, Adam, Schneider, Michael, Fischer, Lutz, Mabrouk, Mahmoud, Stahl, Kolja, Brock, Oliver, Rappsilber, Juri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354267/
https://www.ncbi.nlm.nih.gov/pubmed/28317030
http://dx.doi.org/10.12688/wellcomeopenres.10046.1
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author Belsom, Adam
Schneider, Michael
Fischer, Lutz
Mabrouk, Mahmoud
Stahl, Kolja
Brock, Oliver
Rappsilber, Juri
author_facet Belsom, Adam
Schneider, Michael
Fischer, Lutz
Mabrouk, Mahmoud
Stahl, Kolja
Brock, Oliver
Rappsilber, Juri
author_sort Belsom, Adam
collection PubMed
description Determining the structure of a protein by any method requires various contributions from experimental and computational sides. In a recent study, high-density cross-linking/mass spectrometry (HD-CLMS) data in combination with ab initio structure prediction determined the structure of human serum albumin (HSA) domains, with an RMSD to X-ray structure of up to 2.5 Å, or 3.4 Å in the context of blood serum. This paper reports the blind test on the readiness of this technology through the help of Critical Assessment of protein Structure Prediction (CASP). We identified between 201-381 unique residue pairs at an estimated 5% FDR (at link level albeit with missing site assignment precision evaluation), for four target proteins. HD-CLMS proved reliable once crystal structures were released. However, improvements in structure prediction using cross-link data were slight. We identified two reasons for this. Spread of cross-links along the protein sequence and the tightness of the spatial constraints must be improved. However, for the selected targets even ideal contact data derived from crystal structures did not allow modellers to arrive at the observed structure. Consequently, the progress of HD-CLMS in conjunction with computational modeling methods as a structure determination method, depends on advances on both arms of this hybrid approach.
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spelling pubmed-53542672017-03-16 Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11) Belsom, Adam Schneider, Michael Fischer, Lutz Mabrouk, Mahmoud Stahl, Kolja Brock, Oliver Rappsilber, Juri Wellcome Open Res Method Article Determining the structure of a protein by any method requires various contributions from experimental and computational sides. In a recent study, high-density cross-linking/mass spectrometry (HD-CLMS) data in combination with ab initio structure prediction determined the structure of human serum albumin (HSA) domains, with an RMSD to X-ray structure of up to 2.5 Å, or 3.4 Å in the context of blood serum. This paper reports the blind test on the readiness of this technology through the help of Critical Assessment of protein Structure Prediction (CASP). We identified between 201-381 unique residue pairs at an estimated 5% FDR (at link level albeit with missing site assignment precision evaluation), for four target proteins. HD-CLMS proved reliable once crystal structures were released. However, improvements in structure prediction using cross-link data were slight. We identified two reasons for this. Spread of cross-links along the protein sequence and the tightness of the spatial constraints must be improved. However, for the selected targets even ideal contact data derived from crystal structures did not allow modellers to arrive at the observed structure. Consequently, the progress of HD-CLMS in conjunction with computational modeling methods as a structure determination method, depends on advances on both arms of this hybrid approach. F1000Research 2016-12-09 /pmc/articles/PMC5354267/ /pubmed/28317030 http://dx.doi.org/10.12688/wellcomeopenres.10046.1 Text en Copyright: © 2016 Belsom A et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method Article
Belsom, Adam
Schneider, Michael
Fischer, Lutz
Mabrouk, Mahmoud
Stahl, Kolja
Brock, Oliver
Rappsilber, Juri
Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)
title Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)
title_full Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)
title_fullStr Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)
title_full_unstemmed Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)
title_short Blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (CASP11)
title_sort blind testing cross-linking/mass spectrometry under the auspices of the 11 (th) critical assessment of methods of protein structure prediction (casp11)
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354267/
https://www.ncbi.nlm.nih.gov/pubmed/28317030
http://dx.doi.org/10.12688/wellcomeopenres.10046.1
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