Alphabets DeepMind hopes to aid researchers with AI insight into COVID-19 virus structure – 9to5Google

DeepMind is best known for AI that easily defeated the worlds best Go and StarCraft II players in recent years. The Alphabet-owned research lab is now applying its existing work to help researchers combating COVID-19.

To test for a virus and develop a vaccine, scientists must first understand how it functions, specifically the structure of viral proteins. Its a lengthy process that takes months and might not always yield results. Researchers in recent years have turned to computer predictions, with DeepMinds deep learning system known as AlphaFold.

Work on the coronavirus is under way at labs around the world. DeepMind hopes to aid that research by releasing structure predictions of several understudied proteins associated with SARS-CoV-2, the virus that causes COVID-19.

We emphasize that these structure predictions have not been experimentally verified, but hope they may contribute to the scientific communitys interrogation of how the virus functions, and serve as a hypothesis generation platform for future experimental work in developing therapeutics.

The team is quick to note that the data shared today is not the main focus of current therapeutic efforts, but might help general understanding. There are several other caveats, with DeepMind providing confidence scores and only tackling proteins that are a challenge for conventional modeling approaches.

Its important to note that our structure prediction system is still in development and we cant be certain of the accuracy of the structures we are providing, although we are confident that the system is more accurate than our earlierCASP13 system. We confirmed that our system provided an accurate prediction for theexperimentally determinedSARS-CoV-2 spike protein structure shared in theProtein Data Bank, and this gave us confidence that our model predictions on other proteins may be useful.

According to DeepMind, it was encouraged to share its COVID-19 research with the general scientific community after consulting with structural biologists and virologists in the UK.

Normally wed wait to publish this work until it had been peer-reviewed for an academic journal. However, given the potential seriousness and time sensitivity of the situation, were releasing the predicted structures as we have them now, under anopen licenseso that anyone can make use of them.

Interested researchers can download the structureshere, and can read more technical details about these predictions in a document included with the data.

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Alphabets DeepMind hopes to aid researchers with AI insight into COVID-19 virus structure - 9to5Google