DeepMind AlphaFold

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DeepMind, an AI lab & complete outsider to the field of molecular biology, beat top pharmaceutical companies with 100K+ employees like Pfizer, Novartis, etc. at predicting protein structures. This is huge! DeepMind didn't yet release the paper or code, so I browsed the CASP reports and different related papers to reverse engineer the architecture as best as I could. What I ended up doing is forking a related research papers code and repurposing it, since its very similar (2 residual networks were used). In this episode, i explain the different components of its architecture, why the protein folding problem is so important, and give some programmatic examples. Enjoy!

Code for this video (with coding challenge):
https://github.com/llSourcell/DeepFolding

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More learning resources:
https://deepmind.com/blog/alphafold/
https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/
https://www.reddit.com/r/MachineLearning/comments/a2oaiy/r_alphafold_using_ai_for_scientific_discovery/
https://medium.com/syncedreview/deepmind-alphafold-delivers-unprecedented-progress-on-protein-folding-789fcc1420ea
https://news.ycombinator.com/item?id=18587612

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YouTube url:	https://www.youtube.com/watch?v=cw6_OP5An8s&ab_channel=SirajRaval
Created:	16. 12. 2020 17:02:43

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DeepMind AlphaFold