Geometric Deep Learning for Functional Protein Design (Michael Bronstein, Imperial College London)
Geometric deep learning for functional protein design - Michael Bronstein
MIA and CC&E Joint Seminar: Michael Bronstein, Geometric deep learning for function protein design
Geometric deep learning for functional protein design
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
AlphaFold - The Most Useful Thing AI Has Ever Done
Harnessing Geometry For Molecular Design | Michael Bronstein, Bruno Correia
MIDL 2019 Live Stream Day 1 Keynote1
Beyond the Patterns 28 - Petar Veličković - Geometric Deep Learning
Geometric Deep Learning - Michael Bronstein - MLSS 2020, Tübingen
SYNB1 - Machine Learning for Protein Design
Geometric deep learning, from Euclid to drug design
Multimodal Deep Learning for Protein Engineering | Kevin K. Yang
Discovering New Molecules Using Graph Neural Networks by Rocío Mercado
Multi Scale Protein Structure Modelling with Geometric Graph U Nets
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
AI Helps Ukraine: Dr. Michael Bronstein - Geometric Deep Learning: From Euclid to Drug Design
AMMI 2022 Course "Geometric Deep Learning" - Lecture 12 (Applications & Trends) - Michael Bronstein
3DGV Seminar: Michael Bronstein -- Geometric Deep Learning for 3D Shape Analysis and Synthesis
Jerome Tubiana -Machine learning for Structural Biology: from function to design
Geometric Deep Learning - Michael M. Bronstein
AlphaFold and the End of the Protein Folding Problem
Iterative Refinement GNN for Antibody Sequence-Structure Co-design | Wengong Jin
Lightning talk: ProteinBERT - A universal deep-learning model of protein sequence and function
Machine Learning-Based Design Of Proteins
