Abstract
We describe a method that integrates data derived from different mass spectrometry (MS)-based techniques with a modeling strategy for structural characterization of protein assemblies. We encoded structural data derived from native MS, bottom-up proteomics, ion mobility-MS and chemical cross-linking MS into modeling restraints to compute the most likely structure of a protein assembly. We used the method to generate near-native models for three known structures and characterized an assembly intermediate of the proteasomal base.
Original language | English |
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Pages (from-to) | 403-406 |
Number of pages | 4 |
Journal | NATURE METHODS |
Volume | 11 |
Issue number | 4 |
Early online date | 9 Feb 2014 |
DOIs | |
Publication status | Published - Apr 2014 |