Predicting post-translational lysine acetylation using support vector machines
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Predicting post-translational lysine acetylation using support vector machines. / Gnad, Florian; Ren, Shubin; Choudhary, Chunaram; Cox, Jürgen; Mann, Matthias.
In: Bioinformatics, Vol. 26, No. 13, 01.07.2010, p. 1666-8.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Predicting post-translational lysine acetylation using support vector machines
AU - Gnad, Florian
AU - Ren, Shubin
AU - Choudhary, Chunaram
AU - Cox, Jürgen
AU - Mann, Matthias
PY - 2010/7/1
Y1 - 2010/7/1
N2 - Lysine acetylation is a post-translational protein modification and a primary regulatory mechanism that controls many cell signaling processes. Lysine acetylation sites are recognized by acetyltransferases and deacetylases through sequence patterns (motifs). Recently, we used high-resolution mass spectrometry to identify 3600 lysine acetylation sites on 1750 human proteins covering most of the previously annotated sites and providing the most comprehensive acetylome so far. This dataset should provide an excellent source to train support vector machines (SVMs) allowing the high accuracy in silico prediction of acetylated lysine residues.
AB - Lysine acetylation is a post-translational protein modification and a primary regulatory mechanism that controls many cell signaling processes. Lysine acetylation sites are recognized by acetyltransferases and deacetylases through sequence patterns (motifs). Recently, we used high-resolution mass spectrometry to identify 3600 lysine acetylation sites on 1750 human proteins covering most of the previously annotated sites and providing the most comprehensive acetylome so far. This dataset should provide an excellent source to train support vector machines (SVMs) allowing the high accuracy in silico prediction of acetylated lysine residues.
KW - Acetylation
KW - Algorithms
KW - Humans
KW - Lysine
KW - Protein Processing, Post-Translational
KW - Proteins
U2 - 10.1093/bioinformatics/btq260
DO - 10.1093/bioinformatics/btq260
M3 - Journal article
C2 - 20505001
VL - 26
SP - 1666
EP - 1668
JO - Computer Applications in the Biosciences
JF - Computer Applications in the Biosciences
SN - 1471-2105
IS - 13
ER -
ID: 33748612