SLiMSearch 4

SLiMSearch 4 performs proteome-wide discovery and annotation of short linear motifs (SLiMs) within intrinsically disordered regions, assessing motif consensus matches, conservation, accessibility, and sequence context to prioritize functional motif instances.

Key Features:

• Motif Discovery: Scans a motif consensus representing the specificity determinants of a motif-binding domain against a proteome to identify potential SLiM instances using multiple complementary approaches that exploit common SLiM properties.
• Annotation and Contextual Information: Annotates consensus matches with overlapping sequence annotations including protein modular architecture, post-translational modifications, structural data, sequence variations, and experimentally characterised functional regions.
• Annotated Alignments and Sequence Context: Provides annotated multiple sequence alignments around each occurrence with conservation statistics, protein disorder data, known and predicted SLiMs, protein domains, and post-translational modifications.
• Motif Attribute Analysis: Calculates discriminatory attributes such as conservation and accessibility and supports filtering of matches by these attributes, taxonomic range, or protein localization.
• Functional Enrichment and Evolutionary Analysis: Performs functional enrichment for Gene Ontology (GO) terms, keywords, and interacting partner enrichment and evaluates taxonomic distribution and conservation of motif sequence contexts.
• Enrichment Indicators: Computes enrichment of GO terms and protein interaction partners as indicators of potential motif functions.
• Flexible Search Options: Supports searching motifs against the human proteome or user-defined subsets specified by UniProt accession numbers or GO terms.

Scientific Applications:

• Protein–Protein Interaction Analysis: Identification and analysis of SLiMs as functional interaction modules mediating protein–protein interactions.
• Signal Transduction and Regulatory Mechanisms: Investigation of SLiM-mediated regulation in signal transduction pathways and other regulatory mechanisms.
• Novel Motif Discovery and Target Identification: Prediction of novel SLiMs and contextual annotation to support discovery of unknown functional modules and potential therapeutic targets.
• Evolutionary and Taxonomic Studies: Assessment of taxonomic distribution and conservation of motif contexts to study SLiM evolution across species.

Methodology:

SLiMSearch 4 scans motif consensuses against proteomes and employs computational approaches that utilize motif conservation, protein disorder context statistics, and accessibility metrics to rank motif occurrences.