[2][3][4] Jumper and his colleagues created AlphaFold,[5] an artificial intelligence (AI) model to predict protein structures from their amino acid sequence with high accuracy.

[6][8] Jumper and Demis Hassabis were awarded with the 2024 Nobel Prize in Chemistry for protein structure prediction.

[2] AlphaFold[5][15] is a deep learning algorithm developed by Jumper and his team at DeepMind, a research lab acquired by Google's parent company Alphabet Inc.

[16] In November 2020, AlphaFold was named the winner of the 14th Critical Assessment of Structure Prediction (CASP) competition.

AlphaFold won the competition, outperforming other algorithms scoring above 90 for around two-thirds of the proteins in CASP's global distance test (GDT), a test that measures the degree to which a computational program predicted structure is similar to the lab experiment determined structure, with 100 being a complete match, within the distance cutoff used for calculating GDT.