DeepMind uncovers structure of 200m proteins in scientific leap forward
Artificial intelligence has deciphered the structure of virtually every protein known to science, paving the way for the development of new medicines or technologies to tackle global challenges such as famine or pollution.
Proteins are the building blocks of life. Formed of chains of amino acids, folded up into complex shapes, their 3D structure largely determines their function. Once you know how a protein folds up, you can start to understand how it works, and how to change its behaviour. Although DNA provides the instructions for making the chain of amino acids, predicting how they interact to form a 3D shape was more tricky and, until recently, scientists had only deciphered a fraction of the 200m or so proteins known to science.
In November 2020, the AI group DeepMind announced it had developed a program called AlphaFold that could rapidly predict this information using an algorithm. Since then, it has been crunching through the genetic codes of every organism that has had its genome sequenced, and predicting the structures of the hundreds of millions of proteins they collectively contain.
Last year, DeepMind published the protein structures for 20 species – including nearly all 20,000 proteins expressed by humans – on an open database. Now it has finished the job, and released predicted structures for more than 200m proteins.
“Essentially, you can think of it as covering the entire protein universe. It includes predictive structures for plants, bacteria, animals, and many other organisms, opening up huge new opportunities for AlphaFold to have an impact on important issues, such as sustainability, food insecurity, and neglected diseases,” said Demis Hassabis, DeepMind’s founder and chief executive.
Scientists are
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