4.8 Article

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

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NATURE METHODS
卷 13, 期 3, 页码 237-+

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NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3731

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资金

  1. US National Science Foundation Graduate Research Fellowship [2014171659]
  2. Northwestern University Chemistry of Life Processes Institute Postdoctoral Fellowship Award
  3. CNPq research grant from the Brazilian government [202011/2012-7]
  4. Science Without Borders scholarship from the Coordination for the Improvement of Higher Education Personnel under the Brazilian government [88888.075416/2013-00]
  5. W.M. Keck Foundation [DT061512]
  6. US National Institutes of Health [GM067193]

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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.

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