CompariPSSM
CompariPSSM quantifies the similarity between motif-binding determinants using sliding window PSSM-PSSM comparison and a probabilistic framework for motif analysis tasks.
Key Features:
- PSSM-PSSM Comparison: Quantifies similarity between motif-binding determinants using sliding window PSSM-PSSM comparison.
- Probabilistic Scoring: Scores PSSM similarity using a randomisation-based probabilistic framework.
- Peptide Classification: Validates motif classes through peptide classification.
- Peptide Clustering: Groups functionally related conserved disordered regions through peptide clustering.
- Benchmarking: Benchmarks experimental motif discovery methods.
Scientific Applications:
- Motif Annotation: Supports annotation of short linear motifs (SLiMs) through motif-binding determinant comparison.
- Motif Classification: Classifies motifs by comparing motif-binding determinants.
- Motif Clustering: Clusters motifs based on quantitative PSSM similarity rather than consensus similarity alone.
- Motif Discovery: Aids discovery of short linear motifs that mediate low-affinity protein-protein interactions.
- Benchmarking Experimental Methods: Evaluates and benchmarks experimental motif discovery methods using curated and proteomic data.
- Peptide Classification: Validates motif classes by classifying peptides.
- Peptide Clustering: Groups functionally related conserved disordered regions.
Methodology:
CompariPSSM uses sliding window PSSM-PSSM comparison and scores PSSM similarity using a randomisation-based probabilistic framework. The tool was benchmarked on curated data from the eukaryotic linear motif database and experimental data from proteomic peptidephage display.
Topics
Details
- Added:
- 1/15/2026
- Last Updated:
- 1/15/2026