ArticleBioinformatics (Oxford, England)2024
CompariPSSM: a PSSM-PSSM comparison tool for motif-binding determinant analysis.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Machine Learning and Deep Learning Frameworks for Human-Virus Protein-Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges.International journal of molecular sciences · 2026Review
- A proteome-wide dependency map of protein interaction motifs.Nature structural & molecular biology · 2026Article
- The ExoGAN generative AI framework enables extracellular vesicle-based immunotherapy.Research square · 2025Article
- Defining short linear motif binding determinants by phage display-based deep mutational scanning.Protein science : a publication of the Protein Society · 2025Article
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3 authors.
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Abstract
motivationShort linear motifs (SLiMs) are compact functional modules that mediate low-affinity protein-protein interactions. SLiMs direct the function of many dynamic signalling and regulatory complexes playing a central role in most biological processes of the cell. Motif-binding determinants describe the contribution of each residue in a motif-containing peptide to the affinity and specificity of binding to the motif-binding partner. Motif-binding determinants are generally defined as a motif consensus pattern or a position-specific scoring matrix (PSSM) encoding quantitative preferences. Motif-binding determinant comparison is an important motif analysis task and can be applied to motif annotation, classification, clustering, discovery and benchmarking. Currently, binding determinant comparison is generally performed by analysing consensus similarity; however, this ignores important quantitative information in both the consensus and non-consensus positions.
resultsWe have created a new tool, CompariPSSM, that quantifies the similarity between motif-binding determinants using sliding window PSSM-PSSM comparison and scores PSSM similarity using a randomisation-based probabilistic framework. The tool has been benchmarked on curated data from the eukaryotic linear motif database and experimental data from proteomic peptidephage display. CompariPSSM can be used for peptide classification to validate motif classes, peptide clustering to group functionally related conserved disordered regions, and benchmarking experimental motif discovery methods. AVAILABILITY AND IMPLEMENTATION: CompariPSSM is available at https://slim.icr.ac.uk/projects/comparipssm.
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