Journal article
NetAcet: prediction of N-terminal acetylation sites
Summary: 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.
Language: | English |
---|---|
Year: | 2005 |
Pages: | 1269-1270 |
ISSN: | 13674811 , 13674803 , 02667061 and 14602059 |
Types: | Journal article |
DOI: | 10.1093/bioinformatics/bti130 |
ORCIDs: | Blom, Nikolaj |