Proteome-wide prediction of acetylation substrates

Proceedings of the National Academy of Sciences of the United States of America

Volumn 106, Issue 33, 2009, Pages 13785-13790

  Basu, Amrita ^a   Rose, Kristie L ^b   Zhang, Junmei ^c   Beavis, Ronald C ^d   Ueberheide, Beatrix ^a   Garcia, Benjamin A ^e   Chait, Brian ^a   Zhao, Yingming ^f   Hunt, Donald F ^b   Segal, Eran ^g   Allis, C David ^a   Hake, Sandra B ^h  

^a ROCKEFELLER UNIVERSITY   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^e PRINCETON UNIVERSITY   (United States)

^f UNIVERSITY OF CHICAGO   (United States)

^g WEIZMANN INSTITUTE OF SCIENCE   (Israel)

^h UNIVERSITY OF MUNICH   (Germany)

Author keywords

Acetylation; Histone; Nonhistone; Prediction; PredMod

Indexed keywords

PROTEOME;

ACETYLATION; AMINO ACID SEQUENCE; ARTICLE; CONTROLLED STUDY; HUMAN; IN VIVO STUDY; MASS SPECTROMETRY; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS;

ACETYLATION; ALGORITHMS; AMINO ACID MOTIFS; AMINO ACID SEQUENCE; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; HISTONES; HUMANS; MASS SPECTROMETRY; MOLECULAR SEQUENCE DATA; PROTEINS; PROTEOME; PROTEOMICS; ROC CURVE; SACCHAROMYCES CEREVISIAE;

SACCHAROMYCETALES;

EID: 69549124552     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0906801106     Document Type: Article

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