ParaSurf: a surface-based deep learning approach for paratope–antigen interaction prediction
Source code for ParaSurf, along with the datasets used, preprocessing pipeline, and trained model weights, are freely available at https://github.com/aggelos-michael-papadopoulos/ParaSurf.
Authors
- Anastasia Iatrou (ORCID: https://orcid.org/0000-0002-8995-4454)
- Κώστας Σταματόπουλος (ORCID: https://orcid.org/0000-0001-8529-640X)
- Federico Álvarez (ORCID: https://orcid.org/0000-0001-7400-9591)
- Απόστολος Αξενόπουλος (ORCID: https://orcid.org/0000-0001-8314-4242)
- Petros Daras (ORCID: https://orcid.org/0000-0003-3814-6710)
- Athanase Papadopoulos (ORCID: https://orcid.org/0009-0000-8117-312X)
Institutions
- Aristotle University of Thessaloniki (GR)
- Information Technologies Institute (GR)
- Centre for Research and Technology Hellas (GR)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1093/bioinformatics/btaf062
- Citations
- 7
- Primary Topic
- Advanced Biosensing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.84