Demis Hassabis, co-founder and CEO of Google Deep Minds, and John Jumper, a researcher at Deep Minds, won the Nobel Prize in Chemistry for their groundbreaking work in protein structure prediction using artificial intelligence (AI). American biochemist David Baker accompanied them.

Deep Mind's AI tool AlphaFold has cracked the code that predicts complex protein structures from amino acid sequences, solving a 50-year scientific mystery.

The Royal Swedish Academy of Sciences announced the 2024 Nobel Prize in Chemistry on Wednesday, October 9.

David Baker is director of the Protein Design Institute at the University of Washington School of Medicine. Baker's research group is developing innovative protein design software to address challenges in medicine, technology, and sustainability. In their experiments, they use machine learning (ML) methods to generate functional proteins.

Demis Hassabis is currently CEO of Google DeepMind and Isomorphic Labs. Together with John Jumper, he launched AlphaFold 2 in 2020.

He is an AI researcher with a degree from the University of Cambridge. He has held positions such as lead AI programmer and founded Elixir Studios, an independent game development venture based in London. He also earned a PhD in Cognitive Neuroscience from University College London and continued his AI experiments as CEO and co-founder of machine learning AI startup DeepMind.

AlphaFold 2 is an AI model developed through Google's DeepMind initiative. Experimental results show that it successfully and accurately predicts approximately 200 million known proteins.

AlphaFold is an AI system that predicts the 3D structure of a protein from its amino acid sequence. This technology has turned a once complex and time-consuming process into a seamless experience with predictions freely available in the AlphaFold protein structure database.

More than 2 million researchers worldwide have used it to develop enzymes that break down antibiotic resistance and plastics.