4 ms·

For those interested, it appears as though David Baker (who dedicated his life to protein folding) has also turned to deep learning. His lab recently published

For those interested, it appears as though David Baker (who dedicated his life to protein folding) has also turned to deep learning. His lab recently published https://www.biorxiv.org/content/10.1101/846279v1 https://www.biorxiv.org/content/10.1101/846279v1, which seems to outperform Alphafold with a very concise architecture. Code and model is at https://github.com/gjoni/trRosetta https://github.com/gjoni/trRosetta

deleted 7y ago
[deleted]
faitswulff 7y ago
Do you know if he turned to deep learning after AlphaFold's stunning performance at CASP13 in 2018? I haven't heard anything from that particular niche since the "AlphaFold @ CASP13: “What just happened?”" blog post: https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/ https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp...
- lucidrains 7y ago
  It absolutely did. Both AlphaFold and RaptorX (another deep learning approach from Jinbo Xu's lab) were mentioned in that paper as the main motivation of their architecture
- lucidrains 7y ago
  The author of the article you linked also has this repo, to welcome the public to start training https://github.com/aqlaboratory/proteinnet https://github.com/aqlaboratory/proteinnet , following in the same veins as Imagenet