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Highly accurate protein structure prediction with AlphaFold
Please note this is an online event only via Zoom.
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, we will describe 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. We demonstrated our system in the 14th biennial Critical Assessment of Protein Structure Prediction (CASP14) across a wide range of difficult targets, where the assessors judged our predictions to be at an accuracy “competitive with experiment” for approximately 2/3rds of proteins. The talk will cover both the underlying machine learning ideas and the implications for biological research.
Date:
28 October 2021, 15:30
Venue:
24-29 St Giles', 24-29 St Giles' OX1 3LB
Speaker:
Dr John Jumper (DeepMind)
Organising department:
Department of Statistics
Organisers:
Professor Christl Donnelly (University of Oxford),
Beverley Lane (Department of Statistics, University of Oxford)
Organiser contact email address:
events@stats.ox.ac.uk
Hosts:
Prof. Charlotte Deane (University of Oxford),
Professor Christl Donnelly (University of Oxford)
Part of:
Distinguished Speaker Seminar
Booking required?:
Required
Booking url:
https://www.stats.ox.ac.uk/events/the-david-blackwell-lecture/
Cost:
There is no charge for this event.
Audience:
Members of the University only
Editor:
Beverley Lane
