John Jumper (DeepMind Technologies): Highly Accurate Protein Structure Prediction and it's Implications for Understanding Biology

Title: Highly Accurate Protein Structure Prediction and it's Implications for Understanding Biology

Speaker: John Jumper, DeepMind Technologies

Hosted by: Pratyush Tiwary

Abstract:

Predicting a protein’s structure from its primary sequence has been a grand challenge in biology for the past 50 years, holding the promise to bridge the gap between the pace of genomics discovery and resulting structural characterization. In this talk, I will describe our work at DeepMind to develop AlphaFold, a new deep learning-based system for structure prediction that achieves high accuracy across a wide range of targets. This talk will cover the ideas underlying the AlphaFold system, relationships between machine learning and physically-motivated approaches to prediction biomolecular structure, and some of the most important applications of the work.