We are learning about protein sequences three thousand times faster than we are learning about protein structures. We have this enormous gap in which certain things are very easy to measure like genetics and certain things are very hard to measure three-dimensional (3D) structures and we would love to close this gap, said John Jumper, Breakthrough Prize laureate.
Delivering the TNQ Distinguished Lectures in the Life Sciences – 2024 on ‘Highly Accurate Protein Structure Predictions: Using AI to Solve Biology Problems in Minutes Instead of Years’ at the JN Tata Auditorium, IISc, Mr Jumper said that protein structures should be collected as they are precious and that they should be collected into a central resource.
Mr. Jumper currently leads the AlphaFold2 project at Google DeepMind spoke about the project which has made structure predictions for over 200 million proteins.
