Diffusion Based Distributional Modeling of Conformers, Blind Docking and Proteins
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Intro
(1) Realizing likely 3D conformers
(1) Torsional diffusion for conformer generation
Search-based methods
Deep learning approaches
Rethinking blind docking as generative modeling
A case for generative docking
Generative pose prediction
Technical note: forward diffusion
De-noising (score) model
DiffDock: performance with ESM folded structures
3D motif scaffolding
(3) Backbone scaffolding challenge
(3) Conditioning via Sequential Monte Carlo
(3) Motif-scaffolding case-studies
(3) Integrating protein folding & design
Poisson flow - inspired by electrostatics
Taught by
Institute for Pure & Applied Mathematics (IPAM)