JASSA

JASSA predicts potential SUMOylation sites and SUMO-interacting motifs (SIMs) within protein sequences to support analysis of SUMO-mediated post-translational modification.

Key Features:

• Position Frequency Matrix-based scoring: Uses a Position Frequency Matrix (PFM) constructed from aligned experimentally validated SUMOylation sites and SIMs to score candidate sites.
• Performance benchmarking: Demonstrates performance that is on par with or superior to existing web tools for SUMOylation and SIM prediction.
• Database hit identification: Identifies database hits matching the query sequence to cross-reference known entries.
• Structural contextualization: Represents candidate sites within secondary structural elements and the three-dimensional fold to contextualize predictions.
• PDB integration: Retrieves protein structures from Protein Data Bank (PDB) files to map predicted sites onto deposited 3D structures.

Scientific Applications:

• Mapping SUMOylation and SIMs: Predicts SUMO-conjugation sites and SUMO-interacting motifs to support studies of SUMO-dependent regulation.
• Experimental candidate selection: Prioritizes candidate sites for experimental validation of SUMOylation and SIM function.
• Structural-functional analysis: Enables examination of how predicted SUMOylation sites and SIMs relate to protein secondary and tertiary structure for functional interpretation.

Methodology:

Collecting and aligning experimentally validated SUMOylation sites and SIMs; constructing a Position Frequency Matrix from this alignment to serve as the basis for a scoring system; and integrating database hit identification and structural representation, including retrieval of PDB files, to contextualize predictions.