NetAcet: prediction of N-terminal acetylation sites

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


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.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acetylation
  • Acetyltransferases / chemistry*
  • Acetyltransferases / metabolism
  • Algorithms*
  • Artificial Intelligence*
  • Binding Sites
  • Protein Binding
  • Protein Interaction Mapping / methods*
  • Saccharomyces cerevisiae Proteins / chemistry*
  • Saccharomyces cerevisiae Proteins / metabolism
  • Sequence Analysis, Protein / methods*
  • Software*


  • Saccharomyces cerevisiae Proteins
  • Acetyltransferases