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Proteins are essential to life. Predicting their 3D structure is a major unsolved challenge in biology and could impact disease understanding and drug discovery. I’m excited to announce that we have won the CASP13 protein folding competition!
#AlphaFold https://deepmind.com/blog/alphafold/Prikaži ovu nit -
Although neural networks usually require massive datasets to do impressive things, for me the highlight of
#AlphaFold is the fact that it achieved state-of-the-art using only 30K training examples. Code: https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13 … Paper: https://www.nature.com/articles/s41586-019-1923-7 …pic.twitter.com/k533FyqD6q -
Using AI to help scientists solve big questions is at the core of DeepMind’s mission. Today we’re delighted to announce our first significant milestone: a successful application of machine learning to the protein folding problem. https://deepmind.com/blog/alphafold/
#AlphaFold (1/5)Prikaži ovu nit -
Thanks to the CASP community for organising such a great benchmark, the gold standard for assessing protein folding techniques. Congratulations to the Science Team at
@DeepMindAI on this fantastic achievement! http://predictioncenter.org/casp13/zscores_final.cgi?formula=assessors … (#AlphaFold is listed as ‘A7D’)Prikaži ovu nit -
Understanding how proteins fold is a fundamental scientific question that could one day help unlock treatments for a range of diseases. Excited that our
#AlphaFold work, which uses deep neural networks to predict protein structures, is published in@Nature today!https://twitter.com/DeepMind/status/1217510494984134657 … -
DeepMind's
#AlphaFold algorithm won a prominent protein folding competition last month, outperforming many well-known pharmaceutical companies. Its an amazing time to be alive! I'll explain how it works in this episode https://youtu.be/cw6_OP5An8s -
Disappointed that
#AlphaFold didn’t get references quite right- first was https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0028766 …Prikaži ovu nit -
Online
@nature: Improved protein structure prediction using potentials from deep learning https://www.nature.com/articles/s41586-019-1923-7 …#AlphaFold@DeepMindAI@demishassabisPrikaži ovu nit -
Majority won. Covered wide range of applications of Evolutionary Couplings and new approach to protein design. And
#AlphaFold team now also reading http://bit.ly/EVfold https://twitter.com/deboramarks/status/1217995629739364352 …pic.twitter.com/veiFkjy9yc
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@DeepMind has released a python package of#AlphaFold with@TensorFlow for protein fold prediction: contact prediction network, associated model weights and ~40Gb CASP13 dataset. https://github.com/deepmind/deepmind-research … Paper: https://rdcu.be/b0mtx -
Top
@DeepMind has released a package implementation of#AlphaFold which include the@TensorFlow contact prediction network, associated model weights and CASP13 dataset as published in Nature ( Authors access link : https://rdcu.be/b0mtx )
https://github.com/deepmind/deepmind-research/tree/master/alphafold_casp13 … -
#AlphaFold Deep learning system "could model#protein#structure from scratch – i.e., based only on genetic sequence – better than any previous modelling system with a similar accuracy to systems drawing on templates of previously solved protein"#AI#DLhttps://www.ucl.ac.uk/news/2020/jan/artificial-intelligence-used-predict-3d-structure-proteins … -
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Congrats to the
@DeepMindAI team for publishing their exciting structure prediction work from CASP in@nature and PROTEINS. https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery …#AlphaFold#MachineLearning -
Two of our recent projects published in
@Nature today! Our work on protein folding#AlphaFold and another exploring the link between distributional RL and dopamine in the brain. Huge congrats to everyone who contributed to make these scientific achievements possible!@DeepMindAI -
How do you predict "B" protein structure without any knowledge of "A" and with unprecedented "C" accuracy? Like this: https://www.nature.com/articles/s41586-019-1923-7 …
@nature by@DeepMindAI@demishassabis@TheCrick and their colleagues, deep neural net#AI#AlphaFold pic.twitter.com/0ccXZY6ZpI
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#YapayZeka'nın ne kadar önemli bir güç olduğuna ve bilimin geleceğini etkileyecek en büyük potansiyellerden biri olduğuna dair bir kanıt daha:#AlphaFold
Bu gelişmeyi Türkiye'de ilk kez yayınlayan #TekYolBilim'de okumanın ayrıcalığını yaşayın.https://www.tekyolbilim.com/yapay-zekada-bugun-protein-ressami-alphafold/ … -
How is
@DeepMindAI applying deep learning to the protein folding problem? AlphaFold team lead Andrew Senior recently came to tell us. https://www.youtube.com/watch?v=uQ1uVbrIv-Q …#Google#proteinfolding#AlphaFold#ML#AI -
Always a great pleasure to be back at
@MIT, catching up with old friends, and giving a new talk on our latest work on#AlphaZero,#AlphaStar and#AlphaFold. Sorry to those who didn’t get in to the lecture hall but the video is posted here: https://twitter.com/MIT_CBMM/status/1110956862525108226 …
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One describes AlphaFold, which uses deep neural networks to predict protein structures with high accuracy. AlphaFold made the most accurate predictions at the 2018 scientific community assessment CASP13. 1/4