This is a day I’ve dreamed of my whole life, this is the reason @DeepMind was founded, to build AI and use it accomplish extraordinary scientific breakthroughs like #AlphaFold 2, to advance science and benefit humanity. I could not be more proud of the incredible team!
EMBL and @DeepMind have partnered – a breakthrough for science.
Together, we're providing a treasure trove of protein structure predictions powered by #AlphaFold to herald a new era for #AI-enabled biology.
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This represents 5 years of hard work & ingenuity from our #AlphaFold team, building on the discoveries of generations of scientists who researched these exquisite biological machines. We hope this aids many more scientists & opens up new avenues of scientific discovery for all.5/
Completing the sprint to deliver on the commitments we made at #CASP14 last Dec, we’ve published 2 papers in @Nature, open-sourced #AlphaFold's code and provided a colab. 4/
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We’re excited to see how this will enable and accelerate research for scientists around the world. We've already seen promising signals from early collaborators using #AlphaFold in their own work, including @DNDi, @CEI_UoP, @UCSF & @CUBoulder: https://t.co/Xua3apkpBQ 3/
We’re also sharing the proteomes of 20 other biologically-significant organisms, totalling over 350k structures. Soon we plan to expand to over 100 million, covering almost every sequenced protein known to science & the @uniprot reference database.
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Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: https://t.co/vtBGmTkKhy 1/
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon!
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Thrilled to announce our first major breakthrough in applying AI to a grand challenge in science. #AlphaFold has been validated as a solution to the ‘protein folding problem’ & we hope it will have a big impact on disease understanding and drug discovery: https://t.co/P53t2TxVRa
.@DeepMind's incredible AI-powered protein folding breakthrough will help us better understand one of life’s fundamental building blocks + enable researchers to tackle new and hard problems, from fighting diseases to environmental sustainability.
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The artificial intelligence lab DeepMind built a computer system that can identify the shape of a protein in mere hours. This long-sought breakthrough could accelerate the ability to understand diseases and help develop new medicines.
https://t.co/c2uIm8kOxm
In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)
Today we're sharing structure predictions for six proteins associated with the virus that causes COVID-19, generated by the most up-to-date version of our AlphaFold system. We hope this contributes to the research community’s understanding of the virus:
https://t.co/jW0SIA2b1F
Amazing to see the progress of WaveNet: first w/ @Google’s Assistant & now helping ALS advocate @TShawsTruth recreate & hear his original voice as part of @Google Project Euphonia. More in @Youtube's #AgeOfAI documentary
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@NETAPORTER, what's happening with your logistics at the moment? I ordered a dress last week and it hasn't been dispatched. The customer service team said they have no idea when it will be delivered?