A 7 D De novo structure prediction with deep learning based scoring

By John M. Jumper, James Kirkpatrick, Laurent Sifre, Karen Simonyan

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1. John Rozewicki
2. Daron M. Standley
3. Kazutaka Katoh
4. Songling Li
5. Karlou Mar Amada
6. Robert C. Edgar
7. B. Faircloth
8. David M. Emms

Citations in the corpus

• MAFFT-DASH: integrated protein sequence and structural alignment (2019, background): “Because of the low computational resource requirements and granularity of information contained in the database, we believe DASH to be particularly well-suited for large-scale analyses such as deep learning-based residue contact or distance prediction (32,33).”