NetAcet: prediction of N-terminal acetylation sites | Zendy

Lars Kiemer | Zendy; Jannick Dyrløv Bendtsen | Zendy; Nikolaj Blom | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

NetAcet: prediction of N-terminal acetylation sites

Author(s) -

Lars Kiemer,

Jannick Dyrløv Bendtsen,

Nikolaj Blom

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti130

Subject(s) - acetylation , yeast , terminal (telecommunication) , acetyltransferase , computational biology , biology , genetics , computer science , gene , telecommunications

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research