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. 2005 Apr 1;21(7):1269-70.
doi: 10.1093/bioinformatics/bti130. Epub 2004 Nov 11.

NetAcet: Prediction of N-terminal Acetylation Sites

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NetAcet: Prediction of N-terminal Acetylation Sites

Lars Kiemer et al. Bioinformatics. .

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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