EWSC: Protein design using deep learning, David Baker

EWSC: Machine Learning about Sudden Cardiac Death from ECG Waveforms, Ziad Obermeyer

How AI Cracked the Protein Folding Code and Won a Nobel Prize

RFDiffusion: Accurate protein design using structure prediction and diffusion generative models

David Baker explains his Nobel Prize research on protein design

Where the Rubber Hits the Road - Applying Machine Learning on Drug Discovery Projects; Pat Walters

The Coming of Age of De Novo Protein Design

Think Fast, Talk Smart: Communication Techniques

Optimal Protocols for Studying & Learning

Ri on AI: Understanding AlphaFold – with Dame Janet Thornton

MIA: Yuhan Hao, Seurat v5, cross-modality mapping and large-scale clustering of single-cell data

UW Medicine Live Stream Press Conference: Biochemist David Baker receives Nobel Prize

Deep Learning for Protein Engineering Primer (AlphaFold 2, ProteinMPNN, RFDiffusion)

1. Artificial Intelligence and Machine Learning

5 challenges we could solve by designing new proteins | David Baker

Accelerating drug discovery with AI: Insights from Isomorphic Labs

ELK Stack Tutorial For Beginners | Elastic Stack Tutorial | DevOps | Intellipaat

Think Faster, Talk Smarter with Matt Abrahams

Highly Accurate Protein Structure Prediction with AlphaFold | SimonKohl

David Baker Nobel Prize press conference - full

John Jumper: "Structure Prediction with AlphaFold"