PreprintCited by 4Protein Structure and DynamicsMachine Learning in BioinformaticsBacteriophages and microbial interactions

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SPAED: Harnessing AlphaFold Output for Accurate Segmentation of Phage Endolysin Domains

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Preprint — published as 10.1093/bioinformatics/btaf531 · Paper page

Abstract

Summary: SPAED is an accessible tool for the accurate segmentation of protein domains that applies hierarchical clustering to the predicted aligned error (PAE) matrix obtained from AlphaFold predictions. It leverages information contained in the PAE matrix to better identify domain-linker boundaries and detect disordered regions. On a dataset of 376 bacteriophage endolysins (proteins that degrade the bacterial cell wall), SPAED achieves a mean intersect-over-union score of 96% and a domain-boundary-distance score of 89% compared to 94% and 70%, respectively, for the state-of-the-art tool Chainsaw. Availability and Implementation: SPAED is available on the web at http://spaed.ca and available for download at https://github.com/Rousseau-Team/spaed . Contact: Elsa Rousseau - elsa.rousseau@ift.ulaval.ca , Roberto Vázquez - rvazqf@gmail.com

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Metadata

Authors
Boulay, A., Cremelie, E., Galiez, C., Briers, Y., Rousseau, E., & Vázquez, R.
Affiliations
  • Ghent University (BE)
  • Institut polytechnique de Grenoble (FR)
  • Université Laval (CA)
Corresponding author
  • Rousseau, Elsa
  • Vázquez, Roberto
Venue
Bioinformatics
Publisher
openRxiv
Published
2025-04-28
Volume
41
Issue
10
ISSN
1367-4803 (ISSN-L)
OpenAlex
W4414458008
Cited by
4
References
1
Citations by year
2026: 4
FWCI
1.20
Type
journal article
Language
en
Open access
Locations
  • Bioinformatics (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
Funders
  • European Society of Clinical Microbiology and Infectious Diseases
  • Fonds Wetenschappelijk Onderzoek (1S15424N)
  • Universiteit Gent (01P10022)
  • Mitacs
  • Vlaamse regering
  • Alliance de recherche numérique du Canada
  • Natural Sciences and Engineering Research Council of Canada
  • Fonds de Recherche du Québec - Santé (307935, Junior 1)
  • Fonds de recherche du Québec – Nature et technologies (325947)
  • Compute Ontario
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
  • Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
Keywords
endolysin, AlphaFold, intrinsically disordered regions, protein structure prediction
MeSH terms
Protein Domains, Bacteriophages, Endopeptidases, Software, Viral Proteins, Computational Biology

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