Machine learning and the protein folding problem
The amazing results of DeepMind’s AlphaFold2 in the last CASP experiment caused a huge stir in both the AI and biology fields, and this was of
course widely reported in the general media. The claim is that the protein folding problem has finally been solved, but has it really? Not
to spoil the ending, but of course not. In this talk I will not be talking (much) about AlphaFold2 itself, but instead what inspiration we
can take from it about future directions we might want to take in protein structure bioinformatics research using modern AI techniques.
Along the way, I’ll illustrate my thoughts with some recent and current machine-learning-based projects from my own lab in the area of protein
structure and folding.
Date:
4 June 2021, 14:00 (Friday, 6th week, Trinity 2021)
Venue:
Mathematical Institute, Woodstock Road OX2 6GG
Venue Details:
Virtual
Speaker:
Professor David Jones (Dept of Computer Science UCL)
Organising department:
Mathematical Institute
Organiser:
Sara Jolliffe (University of Oxford)
Organiser contact email address:
sara.jolliffe@maths.ox.ac.uk
Host:
Dr Peter Minary (University of Oxford)
Part of:
Mathematical Biology and Ecology
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Sara Jolliffe
