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Updated: Aug 21, 2026

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
Published on: February 27, 2020
NetAcet: prediction of N-terminal acetylation sites
Lars Kiemer1, Jannick Dyrløv Bendtsen, Nikolaj Blom
1Center 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.
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