TransFactor—prediction of pro-viral SARS-CoV-2 host factors using a protein language model
Source code is available at https://github.com/marsico-lab/TransFactor. A full reproducibility package, including code, trained models, and data, is archived on Zenodo (https://doi.org/10.5281/zenodo.16793684).
Authors
- Benjamin Schubert (ORCID: https://orcid.org/0000-0003-3412-1102)
- Valter Bergant (ORCID: https://orcid.org/0000-0003-3458-9506)
- Alexander Henrici
- Andreas Pichlmair (ORCID: https://orcid.org/0000-0002-0166-1367)
- Samuele Firmani (ORCID: https://orcid.org/0009-0007-2897-0315)
- Yang An (ORCID: https://orcid.org/0000-0002-6529-1609)
- Annalisa Marsico (ORCID: https://orcid.org/0000-0003-0327-5555)
- Corinna Grünke
- Batiste Bonnal
Institutions
- Helmholtz Zentrum München (DE)
- German Center for Infection Research (DE)
- National Institute of Biology (SI)
- National Institute of Chemistry (SI)
- Technical University of Munich (DE)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf491
- Citations
- 1
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Research Foundation
- Deutsche Forschungsgemeinschaft
- Danmarks Grundforskningsfond
- Bundesministerium für Bildung und Forschung