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Title: An informatic framework for decoding protein complexes by top-down mass spectrometry Open Access Deposited

http://creativecommons.org/licenses/by/4.0/
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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 for hierarchical top-down analysis, identification, and scoring of multi-proteoform complexes by native mass spectrometry.
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  • 06/20/2024
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  • The authors thank members of the Kelleher research group and Prof. V. Wysocki for helpful discussions and advice. O.S.S. is supported by a U. S. National Science Foundation Graduate Research Fellowship (2014171659). P.C.H. is a recipient of a Northwestern University's Chemistry of Life Processes Institute Postdoctoral Fellowship Award. L.H.F.D.V. is supported under CNPq research grant 202011/2012-7 from the Brazilian government. H.S.S is supported under the Science Without Borders scholarship 88888.075416/2013-00 from the Coordination for the Improvement of Higher Education Personnel, under the Brazilian government. This work was supported by grants from the W.M. Keck Foundation (DT061512) and the U.S. National Institutes of Health (GM067193) to N.L.K.
To Cite this Work:
An informatic framework for decoding protein complexes by top-down mass spectrometry [Data set]. Indiana University - DataCORE.

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Files (Count: 3; Size: 1.42 KB)

Thumbnail Title Original Upload Last Modified File Size Access Actions
Native_MS_Complex_Search_Tool.zip 2024-08-16 2024-08-16 Open Access
manifest.txt 2024-08-16 2024-08-16 184 Bytes Open Access
README.txt 2024-08-16 2024-08-16 1.25 KB Open Access

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