AI predicts the structure of nearly every known protein

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The American Barbara McClintock, the pioneer of genetics, multiplied the discoveries between the end of the 1920s and the 1950s: the role of chromosomes in heredity, “crossing over”, gene jumping, gene regulation, epigenetics … The work was rejected … Then everything was confirmed. She was awarded the Nobel Prize at its highest in 1983, and was fully recognized during her lifetime as one of the greatest biologists. But too late…

The structure of more than 200 million proteins, also from plants, animals, humans and bacteria, is now available to scientists around the world with a simple click. This revolution is possible thanks to the project Alpha Foldheld by DeepMind, an expert in artificial intelligence owned by The GoogleAnd the EMB-EMIEuropean Institute of Bioinformatics.

Launched in July 2021, Database AlphaFold already contains the 3D structure of 350,000 proteins, including the entire human protein. In less than a year and with regular additions, it now contains more than 200 million proteins out of a millionOcean Different. Almost all proteins now have a three-dimensional structure, predicted by artificial intelligence.

A new era of biology

In short, you can consider that it covers the entiretyUniverse proteins. We are at the beginning of a new era of digital biology said Demis Hassabis, CEO of DeepMind. AlphaFold has been a valuable tool for scientists since its launch and has been used in over 1,000 scientific publications covering Such diverse fields this search MicroplasticsParkinson’s disease, bee biology or composition glaciers.

The predictions made by AI are very accurate: 35% of the structures in the database are considered “too accurate”, compared to what scientists can get by performing long manipulations. crystallography to me X-Ray or an electron microscope. These 23 terabytes of data open up an almost endless field of scientific research.

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