Deep Learning for Protein Folding - Lecture 17 - MIT Deep Learning in Life Sciences (Spring 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 L...
Latest slides and course today: compbio.mit.edu/6874
Spring 2021 slides and materials: 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

[@user-lq7ti4jm4r]

Thank you, Professor Bruno Correia 🙏🙏🙏

[@didierbarradas1581]

That is an incredible line up of guest lecturers

[@ai-ur5uv]

Such an amazing lecture, thank you

[@calebp8637]

Woah!