We were thrilled to welcome Nobel Prize winner, Dr John Jumper, who kicked-off our 2024/2025 Seminar Series with his talk,
“Extending
AlphaFold
to make predictions across the universe of biomolecular interactions”. John is one of the key pioneers behind the development of Google’s DeepMind
AlphaFold – an artificial intelligence model to predict protein structures from their amino acid sequence with high accuracy.
This in-person event was an incredible opportunity to hear from one of the foremost innovators in AI and biology.
Seminar Series Event:
Extending AlphaFold to make predictions across the universe of biomolecular interactions
Date and Time:
14:00 – 15.00, Thursday 10 October 2024
Location:
The Council Room, 2nd floor, The King’s Building, Strand Campus
Registration:
Limited to EPSRC DRIVE-Health students in the first instance. Please email
drive-health-cdt@kcl.ac.uk
to check availability.
Abstract:
The high accuracy of AlphaFold 2 in predicting protein structures and protein-protein interactions raises the question of how to extend the success of AlphaFold to general biomolecular modeling, including protein-nucleic and protein-small molecule structure predictions as well as the effects of post-translational modification. In this talk, I will discuss our latest work on AlphaFold 3 to develop a single deep learning system that makes accurate predictions across these interaction types, as well as examine some of the remaining challenges in predicting the universe of biologically-relevant protein interactions.