JASSA: a comprehensive tool for prediction of SUMOylation sites and SIMs
JASSA: a comprehensive tool for prediction of SUMOylation sites and SIMs
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DOI:
10.1093/bioinformatics/btv403
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发表时间:
2015-11-01
期刊:
影响因子:
5.8
通讯作者:
Zamborlini, Alessia
中科院分区:
文献类型:
--
作者:
Beauclair, Guillaume;Bridier-Nahmias, Antoine;Zamborlini, Alessia
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.