AlphaFold and the Grand Challenge to solve protein folding

If you want to support this channel, here is my patreon link: https://patreon.com/ArxivInsights --- You are amazing!! ;) If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: https://pensight.com/x/xander-steenbrugge -------------------------------- AlphaFold is DeepMinds latest breakthrough addressing the protein folding problem. Using an advanced Deep Learning architecture that achieves end-to-end learning of protein structures, this work is arguably one of the most influential papers of this decade and is likely to spark enormous advanced in computational biology and protein design. This video covers the entire architecture of the model as well as training principles that led to the incredible results of AlphaFold2! AlphaFold Nature paper: https://www.nature.com/articles/s41586-021-03828-1 AlphaFold Codebase: https://github.com/deepmind/alphafold Work from the Baker lab: https://www.bakerlab.org/ Fabian Fuchs' amazing blog on equivariance: https://fabianfuchsml.github.io/alphafold2/ Ongoing Open Source effort to reproduce AlphaFold: https://github.com/lucidrains/alphafold2 ::Chapters:: 00:00 Intro 02:28 The Protein Folding Problem 05:29 AlphaFold1 revisited 06:10 Multiple Sequence Alignments (MSA) 08:10 Distograms 12:29 AlphaFold2 14:52 The Evoformer 19:07 The Structure Module 28:13 Zooming out: looking at the future