Article

NetAcet: prediction of N-terminal acetylation sites.

Center for Biological Sequence Analysis, BioCentrum-DTU Building 208 Technical University of Denmark, DK-2800 Lyngby, Denmark.
Bioinformatics (impact factor: 5.47). 04/2005; 21(7):1269-70. DOI:10.1093/bioinformatics/bti130 pp.1269-70
Source: PubMed

ABSTRACT We present here a neural network based method for prediction of N-terminal acetylation-by far the most abundant post-translational modification in eukaryotes. The method was developed on a yeast dataset for N-acetyltransferase A (NatA) acetylation, which is the type of N-acetylation for which most examples are known and for which orthologs have been found in several eukaryotes. We obtain correlation coefficients close to 0.7 on yeast data and a sensitivity up to 74% on mammalian data, suggesting that the method is valid for eukaryotic NatA orthologs.

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Keywords

abundant post-translational modification
 
correlation coefficients
 
eukaryotes
 
examples
 
mammalian data
 
N-acetyltransferase
 
N-terminal acetylation-by
 
neural network
 
yeast data
 
yeast dataset