DEDAL is a deep learning-based protein sequence alignment method that improves the quality of predicted alignment for remote homologs and better discriminates remote homologs from evolutionarily unrelated sequences.
- Felipe Llinares-López
- Quentin Berthet
- Jean-Philippe Vert