At least 288 people have died outside of mainland China, DeepMind’s findings hope to cut down on months of effort typically used to determine the protein structure of a virus.“Knowing a protein’s structure provides an important resource for understanding how it functions, but experiments to determine the structure can take months or longer, and some prove to be intractable,” And given the “potential seriousness and time sensitivity of the situation,” DeepMind said that it is skipping the process of experimentally verifying the findings or waiting for it to be peer-reviewed by an academic journal before publication.
DeepMind said that in order to deal with the epidemic caused by the new coronavirus outbreak, the scientific community has done a lot of basic research on the characteristics of this virus family. ... Google-owned AI company DeepMind, meanwhile, has … Search for coronavirus or Covid-19, and an SOS Alert appears, alongside links to help and information about the virus. Published Fri, May 1 2020 7:06 AM EDT Updated Fri, May 1 2020 11:08 … "Knowing a protein's structure provides an important resource for understanding how it functions, but experiments to determine the structure can take months or longer, and some prove to be intractable,"Usually, Deepmind peer-reviews its findings before releasing research for open-source viewing. But ultimately, the company decided to bend the rules, and said: Due to the ""We emphasise that these structure predictions have not been experimentally verified, but hope they may contribute to the scientific community's interrogation of how the virus functions, and serve as a hypothesis generation platform for future experimental work in developing therapeutics," said the blog post., we’re releasing the predicted structures as we have them now, under an Just enter your email and we’ll take care of the rest:© Copyright 2020 | Interesting Engineering, Inc. | All Rights Reserved We use cookies to ensure you get the best experience on our website. However, given the potential seriousness and time-sensitivity of the situation, we’re releasing the predicted structures as we have them now, under an open licence so that anyone can make use of them,” it added.The open licence will allow any researcher to build on, adapt or share DeepMind’s findings.Google acquired the London-based research entity DeepMind for 400 million pounds back in 2014. DeepMind, the AI arm of Google's parent company Alphabet, is using data on genomes to predict organisms' protein structure, potentially shedding light on which drugs could work against COVID-19. UK government invited Google DeepMind exec to critical coronavirus meeting. Head Image Caption: SARS-CoV-2 Membrane Protein: rendering of one of DeepMind’s protein structure predictions In a bid to help the global research community better understand the coronavirus, DeepMind today released the structure predictions for six proteins associated with SARS-CoV-2, the virus that causes COVID-19, using the most up-to-date version of …
Posted Mar 15, 2020 This is an updated version. We hope this contributes to the research community’s understanding of the virus:Deepmind's findings could cut months from the time it takes to understand the coronavirus' protein structure. But with more than 3,000 people killed by the virus as of early March, scientists at Google AI's Deepmind have trained the system for a new trick: mapping the structure of the novel coronavirus. Cutting-edge laboratories open up viral genome data, which allows researchers to quickly develop test therapies for the virus. DeepMind, Google’s AI unit, is joining the global effort learn more about The UK-based team just used DeepMind’s new deep learning system to share its predictions about the protein structures of the coronavirus, which causes the disease.
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