JASSA: a comprehensive tool for prediction of SUMOylation sites and SIMs

Bioinformatics. 2015 Nov 1;31(21):3483-91. doi: 10.1093/bioinformatics/btv403. Epub 2015 Jul 2.

Abstract

Motivation: Post-translational modification by the Small Ubiquitin-like Modifier (SUMO) proteins, a process termed SUMOylation, is involved in many fundamental cellular processes. SUMO proteins are conjugated to a protein substrate, creating an interface for the recruitment of cofactors harboring SUMO-interacting motifs (SIMs). Mapping both SUMO-conjugation sites and SIMs is required to study the functional consequence of SUMOylation. To define the best candidate sites for experimental validation we designed JASSA, a Joint Analyzer of SUMOylation site and SIMs.

Results: JASSA is a predictor that uses a scoring system based on a Position Frequency Matrix derived from the alignment of experimental SUMOylation sites or SIMs. Compared with existing web-tools, JASSA displays on par or better performances. Novel features were implemented towards a better evaluation of the prediction, including identification of database hits matching the query sequence and representation of candidate sites within the secondary structural elements and/or the 3D fold of the protein of interest, retrievable from deposited PDB files.

Availability and implementation: JASSA is freely accessible at http://www.jassa.fr/. Website is implemented in PHP and MySQL, with all major browsers supported.

Contact: guillaume.beauclair@inserm.fr

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Protein Interaction Domains and Motifs
  • Protein Structure, Tertiary
  • Sequence Alignment
  • Sequence Analysis, Protein / methods*
  • Small Ubiquitin-Related Modifier Proteins / metabolism
  • Software*
  • Sumoylation*

Substances

  • Small Ubiquitin-Related Modifier Proteins