An informatic framework for decoding protein complexes by top-down mass spectrometry

Nat Methods. 2016 Mar;13(3):237-40. doi: 10.1038/nmeth.3731. Epub 2016 Jan 18.

Abstract

Efforts to map the human protein interactome have resulted in information about thousands of multi-protein assemblies housed in public repositories, but the molecular characterization and stoichiometry of their protein subunits remains largely unknown. Here, we report a computational search strategy that supports hierarchical top-down analysis for precise identification and scoring of multi-proteoform complexes by native mass spectrometry.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Binding Sites
  • Computer Simulation
  • Data Mining / methods*
  • Databases, Protein*
  • Mass Spectrometry / methods*
  • Models, Chemical
  • Molecular Sequence Data
  • Protein Binding
  • Protein Interaction Mapping / methods*
  • Proteome / metabolism*
  • Sequence Analysis, Protein / methods*

Substances

  • Proteome