Andrew Senior is a research scientist at Google DeepMind and team lead on the AlphaFold project. This talk was recorded at the University of Washington on August 19, 2019.

00:01:25 — Protein structure prediction at DeepMind
00:05:05 — Protein folding problem (overview)
00:07:45 — CASP13 (overview)
00:12:28 — CASP13 results
00:14:55 — AlphaFold system (overview)
00:18:01 — Key aspects of AlphaFold
00:21:00 — Deep learning (overview)
00:25:35 — Why machine learning for protein structure modelling?
00:26:29 — Predicting inter-residue distances
00:31:20 — Data used by AlphaFold
00:33:06 — Deep Dilated Convolutional Residual network
00:34:56 — Data cropping
00:37:43 — Example of an AlphaFold prediction
00:39:50 — Distogram performance on contact metrics
00:41:55 — Secondary structure and Torsion angle prediction
00:43:31 — Using deep learning to construct a reference state
00:49:23 — Accuracy vs computational cost
00:50:00 — Conclusions
00:52:10 — What’s next
00:54:50 — Q&A