Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data

This protocol describes a workflow for creating structural models of proteins or protein complexes using distance restraints derived from cross-linking mass spectrometry experiments. The distance restraints are used (i) to adjust preliminary models that are calculated on the basis of a homologous te...

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Veröffentlicht in:Nature protocols Jg. 13; H. 3; S. 478
Hauptverfasser: Orbán-Németh, Zsuzsanna, Beveridge, Rebecca, Hollenstein, David M, Rampler, Evelyn, Stranzl, Thomas, Hudecz, Otto, Doblmann, Johannes, Schlögelhofer, Peter, Mechtler, Karl
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Nature Publishing Group 01.03.2018
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ISSN:1754-2189, 1750-2799, 1750-2799
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Zusammenfassung:This protocol describes a workflow for creating structural models of proteins or protein complexes using distance restraints derived from cross-linking mass spectrometry experiments. The distance restraints are used (i) to adjust preliminary models that are calculated on the basis of a homologous template and primary sequence, and (ii) to select the model that is in best agreement with the experimental data. In the case of protein complexes, the cross-linking data are further used to dock the subunits to one another to generate models of the interacting proteins. Predicting models in such a manner has the potential to indicate multiple conformations and dynamic changes that occur in solution. This modeling protocol is compatible with many cross-linking workflows and uses open-source programs or programs that are free for academic users and do not require expertise in computational modeling. This protocol is an excellent additional application with which to use cross-linking results for building structural models of proteins. The established protocol is expected to take 6-12 d to complete, depending on the size of the proteins and the complexity of the cross-linking data.
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ISSN:1754-2189
1750-2799
1750-2799
DOI:10.1038/nprot.2017.146