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

Efforts to map the human protein interactome have resulted in information about hundreds to thousands of multi-protein assemblies housed in public repositories, but the molecular characterization and stoichiometry of their protein subunits remains largely unknown. Here, we combined the CORUM and Uni...

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Detalles Bibliográficos
Autores principales: Skinner, Owen S., Havugimana, Pierre C., Haverland, Nicole A., Fornelli, Luca, Early, Bryan P., Greer, Joseph B., Fellers, Ryan T., Durbin, Kenneth R., Do Vale, Luis H. F., Melani, Rafael D., Seckler, Henrique S., Nelp, Micah T., Belov, Mikhail E., Horning, Stevan R., Makarov, Alexander A., LeDuc, Richard D., Bandarian, Vahe, Compton, Philip D., Kelleher, Neil L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767540/
https://www.ncbi.nlm.nih.gov/pubmed/26780093
http://dx.doi.org/10.1038/nmeth.3731
Descripción
Sumario:Efforts to map the human protein interactome have resulted in information about hundreds to thousands of multi-protein assemblies housed in public repositories, but the molecular characterization and stoichiometry of their protein subunits remains largely unknown. Here, we combined the CORUM and UniProt databases to create candidates for an error-tolerant search engine designed for hierarchical top-down analyses, identification, and scoring of multi-proteoform complexes by native mass spectrometry.

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