CompariPSSM: a PSSM-PSSM comparison tool for motif binding determinant analysis.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
29 Oct 2024
29 Oct 2024
Historique:
received:
08
02
2024
revised:
31
08
2024
accepted:
27
10
2024
medline:
30
10
2024
pubmed:
30
10
2024
entrez:
29
10
2024
Statut:
aheadofprint
Résumé
Short 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. We 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 (ELM) database and experimental data from Proteomic Phage Display (ProP-PD). 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. CompariPSSM is available at https://slim.icr.ac.uk/projects/comparipssm. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 39471470
pii: 7849645
doi: 10.1093/bioinformatics/btae644
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2024. Published by Oxford University Press.