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Predicting post-translational lysine acetylation using support vector machines
Florian Gnad, Shubin Ren,
Chunaram Choudhary
, Jürgen Cox, Matthias Mann
Novo Nordisk Foundation Center for Protein Research
53
Citations (Scopus)
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Dive into the research topics of 'Predicting post-translational lysine acetylation using support vector machines'. Together they form a unique fingerprint.
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Keyphrases
Post-translational
100%
Support Vector Machine
100%
Lysine Acetylation
100%
Acetylation Site
75%
Acetyltransferase
25%
Signal Process
25%
Protein Post-translational Modification
25%
In Silico Prediction
25%
Lysine Residue
25%
Sequence Pattern
25%
Liquid Chromatography-high Resolution Mass Spectrometry (LC-HRMS)
25%
Regulatory Mechanism
25%
Cell Signaling
25%
Human Proteins
25%
Biochemistry, Genetics and Molecular Biology
Lysine
100%
Acetylation
100%
Support Vector Machine
100%
Resolution (Mass Spectrometry)
20%
N-Acetyltransferase
20%
Signal Transduction
20%
Translational Protein Modification
20%