Deep Learning for Protein Folding - Lecture 17 - MIT Deep Learning in Life Sciences (Spring 2021)
Manolis Kellis Manolis Kellis
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 Published On Apr 26, 2021

MIT 6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Guest lecturers: Bruno Correia, Jinbo Xu, Mohammed AlQuraishi
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist:    • MIT Deep Learning in Life Sciences - ...  
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Introduction
8:12 Protein surfaces
9:45 Geometric deep learning
13:08 Molecular surface interaction fingerprints
24:42 De novo design of protein-protein interactions
29:30 Protein structure prediction
39:22 Coevolution analysis
43:28 Previous supervised learning methods
49:21 Deep learning
56:54 Building a 3d structure from pairwise distance
1:01:00 Ideas for improvement
1:11:59 Algorithm space for protein structure prediction
1:19:45 Decomposing algorithm space
1:28:37 RGN
1:35:02 RGN2
1:38:53 Model performance

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