This past Wednesday, a Nobel Prize in chemistry was awarded to scientists who won the Critical Assessment of Protein Structure Prediction (CASP) competition, a global challenge focused on advancing methods for predicting protein structures.
Demis Hassabis and John M. Jumper of Google DeepMind debuted AlphaFold in 2018 when it won CASP. But, it was the second iteration of the deep-learning neural network (AlphaFold2), revealed in late 2020 that really shook up the life sciences field. Many of AlphaFold2’s predictions at CASP were so accurate that it was indistinguishable from experimentally solved protein structures.
You can read more about how the team built their winning protein structure prediction tool here. We hope this inspires you or your team as you develop your CMI-PB prediction models!
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