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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.
“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 already using some of its earlier predictions to help develop new medicines. In May, researchers led by Prof Matthew Higgins at the University of Oxford announced they had used AlphaFold’s models to help determine the structure of a key malaria parasite protein, and work out where antibodies that could block transmission of the parasite were likely to bind.
AlphaFold’s models are also being used by scientists at the University of Portsmouth’s Centre for Enzyme Innovation, to identify enzymes from the natural world that could be tweaked to digest and recycle plastics. “It took us quite a long time to go through this massive database of structures, but opened this whole array of new three-dimensional shapes we’d never seen before that could actually break down plastics,” said Prof John McGeehan, who is leading the work. “There’s a complete paradigm shift. We can really accelerate where we go from here – and that helps us direct these precious resources to the stuff that matters.”
Prof Dame Janet Thornton, the group leader and senior scientist at the European Molecular Biology Laboratory’s European Bioinformatics Institute, said: “AlphaFold protein structure predictions are already being used in a myriad of ways. I expect that this latest update will trigger an avalanche of new and exciting discoveries in the months and years ahead, and this is all thanks to the fact that the data are available openly for all to use.”
© 2015 Mutual Fund Observer. All rights reserved.
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