Automated identification of SUMOylation sites using mass spectrometry and SUMmOn pattern recognition software

Nature Methods

Volumn 3, Issue 7, 2006, Pages 533-539

  Pedrioli, Patrick G A ^a   Raught, Brian ^b   Zhang, Xiang Dong ^c   Rogers, Richard ^a   Aitchison, John ^a   Matunis, Michael ^c   Aebersold, Ruedi ^a,d,e  

^a INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^b UNIVERSITY HEALTH NETWORK   (Canada)

^c JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^d ETH ZURICH   (Switzerland)

^e UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

LYSINE; PEPTIDE FRAGMENT; SUMO 1 PROTEIN; SUMO PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; AMINO TERMINAL SEQUENCE; ARTICLE; AUTOMATION; BINDING SITE; COMPUTER PROGRAM; CONSENSUS SEQUENCE; CONTROLLED STUDY; HUMAN; IN VITRO STUDY; NONHUMAN; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PHOSPHORYLATION; PROTEIN PROCESSING; PROTEIN TARGETING; TANDEM MASS SPECTROMETRY;

ALGORITHMS; AMINO ACID SEQUENCE; AUTOMATION; HUMANS; LYSINE; MASS SPECTROMETRY; MOLECULAR SEQUENCE DATA; PROTEIN PROCESSING, POST-TRANSLATIONAL; SEQUENCE ALIGNMENT; SMALL UBIQUITIN-RELATED MODIFIER PROTEINS; SOFTWARE;

EID: 33745360876     PISSN: 15487091     EISSN: 15491676     Source Type: Journal    
DOI: 10.1038/nmeth891     Document Type: Article

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