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Seminar by Andrew Senior, Google DeepMind, "Alphafold: Improved Protein Sturcture Prediction Using Potentials from Deep Learning"
Seminar by Andrew Senior, Google DeepMind, "Alphafold:  Improved Protein Sturcture Prediction Using Potentials from Deep Learning"
WhenMonday, Aug 19, 2019, 11 a.m. – 12 p.m.
WhereBill & Melinda Gates Center for Computer Science & Engineering
Campus roomCSE2 / Amazon Auditorium
Event typesLectures/Seminars, Special Events
Description

DeepMind's AlphaFold protein structure prediction system
was recently ranked first in free-modelling at the CASP13
(Critical Assessment of Protein Structure Prediction)
biennial blind assessment of prediction methods.

The system relies upon prediction of inter-residue
distances by a very deep neural network. Using these
distance distributions and a reference distribution from a
similar neural network, we construct a potential and show
that we can optimize this potential by a simple application
of gradient descent, as well as with a more conventional
fragment assembly / simulated annealing algorithm.
Despite not using templates, the system also performed
well in the CASP template-based category.

We will discuss the training and use of the neural network
and present contact- and structure-prediction resu

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