SPAED: harnessing AlphaFold output for accurate segmentation of phage endolysin domains
Implemented in Python, SPAED is accessible on the web (https://spaed.ca) and available for download from https://github.com/Rousseau-Team/spaed or https://pypi.org/project/spaed. The data used to test SPAED can be found at https://doi.org/10.5281/zenodo.15285860.
Authors
- Elsa Rousseau (ORCID: https://orcid.org/0000-0001-7013-6024)
- Roberto Vázquez (ORCID: https://orcid.org/0000-0002-7919-552X)
- Yves Briers (ORCID: https://orcid.org/0000-0001-7723-1040)
- Clovis Galiez
- Emma Cremelie (ORCID: https://orcid.org/0000-0003-0957-1443)
- Alexandre Boulay
Institutions
- Institut polytechnique de Grenoble (FR)
- HOGENT University of Applied Sciences and Arts (BE)
- Centre National de la Recherche Scientifique (FR)
- Ghent University (BE)
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
- Nutrition & Santé (Spain) (ES)
- Laboratoire Jean Kuntzmann (FR)
- Département d'Informatique (FR)
- Université Laval (CA)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1093/bioinformatics/btaf531
- Citations
- 2
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- European Society of Clinical Microbiology and Infectious Diseases
- Fonds Wetenschappelijk Onderzoek
- Universiteit Gent
- Mitacs
- Vlaamse regering
- Alliance de recherche numérique du Canada
- Natural Sciences and Engineering Research Council of Canada
- Fonds de Recherche du Québec - Santé
- Fonds de recherche du Québec – Nature et technologies