Related Experiment Video
Updated: Aug 19, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
AutoMotif server: prediction of single residue post-translational modifications in proteins
Dariusz Plewczynski1, Adrian Tkacz, Lucjan Stanislaw Wyrwicz
1BioInfoBank Institute, Limanowskiego 24A/16, 60-744 Poznan, Poland. darman@bioinfo.pl
Unlabelled:
The AutoMotif Server allows for identification of post-translational modification (PTM) sites in proteins based only on local sequence information. The local sequence preferences of short segments around PTM residues are described here as linear functional motifs (LFMs). Sequence models for all types of PTMs are trained by support vector machine on short-sequence fragments of proteins in the current release of Swiss-Prot database (phosphorylation by various protein kinases, sulfation, acetylation, methylation, amidation, etc.). The accuracy of the identification is estimated using the standard leave-one-out procedure. The sensitivities for all types of short LFMs are in the range of 70%.
Availability:
The AutoMotif Server is available free for academic use at http://automotif.bioinfo.pl/
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