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

Owen S. Skinner,Pierre C. Havugimana,Nicole A. Haverland,Luca Fornelli,Bryan P. Early,Joseph B. Greer,Ryan T. Fellers,Kenneth R. Durbin,Luis H. F. Do Vale,Rafael D. Melani,Henrique S. Seckler,Micah T. Nelp,Mikhail E. Belov,Stevan Horning,Alexander Makarov,Richard Leduc,Vahe Bandarian,Philip D. Compton,Neil L. Kelleher

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

2016

Owen S. Skinner
Pierre C. Havugimana
Nicole A. Haverland
Luca Fornelli
Bryan P. Early
Joseph B. Greer
Ryan T. Fellers
Kenneth R. Durbin
Luis H. F. Do Vale
Rafael D. Melani
Henrique S. Seckler
Micah T. Nelp
Mikhail E. Belov
Stevan Horning
Alexander Makarov
Richard Leduc
Vahe Bandarian
Philip D. Compton
Neil L. Kelleher

A computational approach for precisely identifying and characterizing the molecular stoichiometry of multi-proteoform complexes using native top-down mass spectrometry data is reported.

Keywords:

Decoding methods
Bioinformatics
Plasma protein binding
Proteome
Stoichiometry
Mass spectrometry
Peptide sequence
Binding site
Biology
Posttranslational modification

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