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Bioinformatics. 2005 Apr 1;21(7):1269-70. Epub 2004 Nov 11.

NetAcet: prediction of N-terminal acetylation sites.

Author information

1
Center for Biological Sequence Analysis, BioCentrum-DTU Building 208 Technical University of Denmark, DK-2800 Lyngby, Denmark.

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.

PMID:
15539450
DOI:
10.1093/bioinformatics/bti130
[Indexed for MEDLINE]

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