The collective discussions highlight the groundbreaking nature of the article, with phrases like 'considerable advance,' 'game-changing,' and 'impressive to see how AI is transforming protein prediction.' Words like 'advance,' 'significant,' and 'revolutionary' underscore the perceived profound impact, while references to specific methods and citations demonstrate deep engagement and strong consensus about its importance in scientific progress.
AgreementStrong agreement
Most discussions express strong support and excitement about the significance of the research, reflecting widespread agreement on its importance.
InterestHigh interest
Posts show high interest, with many mentioning the breakthrough's potential and citing specific scientific details and broader implications.
EngagementHigh engagement
The discussions include references to methods, citations, relevancy to COVID-19, and ongoing debates, indicating deep engagement.
ImpactHigh impact
Many posts emphasize the revolutionary potential of AlphaFold for molecular biology, genomics, and drug discovery, signaling high impact.
Abstract in brief
Protein structure prediction involves determining the 3D shape of proteins based on their amino acid sequences, which is important because a protein's shape dictates its function.
The study introduces a neural network that predicts precise distances between amino acid residues, providing better information than traditional contact predictions, and uses these predictions to develop an energy-based model called AlphaFold.
AlphaFold has shown significant improvements in accurately predicting protein structures, outperforming other methods in blind tests and helping scientists understand proteins even when no experimental structures are available.
Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning. Impressive to see how #AI and #synbio are radically changing the way protein structure can be predicted https://t.co/gEpDavacci
Nov 19, 2020 · 29 likes · 4 shares · 9,350 followersView post →
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/MachineLearning
@slashML · X
Deepmind's paper on AlphaFold has just been published! - "Improved protein structure prediction using potentials from deep learning" https://t.co/uAUAFOo8LR
Jan 14, 2021 · 16 likes · 1 share · 124,084 followersView post →
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Francis Villatoro
@emulenews · X
AlphaFold represents a considerable advance in protein-structure prediction. Improved protein structure prediction using potentials from deep learning. https://t.co/3ehdJYmQLO cc @SaraRC83 @pcoffeebreak https://t.co/F4xBSVfVHo
Mar 4, 2020 · 9 likes · 4 shares · 45,061 followersView post →
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Litmaps
@LitmapsApp · X
Visualising the citations of the 2020 AlphaFold paper ("Improved protein structure prediction using potentials from deep learning") using Litmaps. #dailymaps #litmaps #literaturemapping #sciencevisualization #dataviz #visualization #research #datascience #accidentalArt https://t.co/4s12VwbnOY
Feb 24, 2021 · 5 likes · 3 shares · 11,565 followersView post →
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とりさん
@biochem_fan · X
AlphaFold も昔読んだ際、たしか無料で読めるリンクを貼ってなかった気がするので一応貼っておく
Nature "Improved protein structure prediction using potentials from deep learning" https://t.co/QsCNVY0yVv https://t.co/GvsNrTkH7u と解説 https://t.co/fhuVmfGWvf
Oct 3, 2020 · 4 likes · 6,040 followersView post →
Javier Garc�a discusses how automating experiments with robotic chemists can revolutionize material design and research efficiency, highlighting advancements like autonomous testing for photocatalysts and AI-driven…
This video explores how artificial intelligence and robotics are transforming chemistry, offering opportunities for sustainable development and advancements in chemical research. It highlights the use of autonomous…
▶️Listen to PubReading [116] - Improved protein structure prediction using potentials from deep learning - A. Senior, D. Hassabis et al. https://t.co/zAVYCdoLxy
Improved protein structure prediction using potentials from deep learning
https://t.co/NKeCdI6laH
Feb 20, 2022 · 1 like · 1 share · 3,757 followersView post →
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Prof. Dr. Sanjeev Bagai
@BagaiDr · X
Improved protein structure prediction using potentials from deep learning | Nature https://t.co/DwVpWpndn1
Aug 3, 2021 · 2 likes · 34,649 followersView post →
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Flying Scholars – CS
@FlyScholarsCS · X
CALL FOR REVIEW:
Improved protein structure prediction using potentials from deep learning (AlphaFold)
Senior et al (2021)
https://t.co/gYD6XYdXZb
In particular, we would like to hear the perspective of experts in molecular biology on the usefulness and limitations of AlphaFold!
Improved protein structure prediction using potentials from deep learning
https://t.co/Fagwj6VQxN
#ccme2021 #covid19 #ai #artificialintelligence
Apr 18, 2021 · 1 like · 1 share · 1,218 followersView post →
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Eddie Biggles
@EddieBiggles · X
What DeepMind has done is actually a really, really big deal for the genomics revolution currently under way. Improved protein structure prediction using potentials from deep learning #nature #deepmind #genetics https://t.co/7tueSBzt0o
RT @LitmapsApp: Visualising the citations of the 2020 AlphaFold paper ("Improved protein structure prediction using potentials from deep le…
Feb 25, 2021 · 3 shares · 7,451 followersView post →
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godfrey™
@godfrey_G_ · X
RT @LitmapsApp: Visualising the citations of the 2020 AlphaFold paper ("Improved protein structure prediction using potentials from deep le…
Feb 24, 2021 · 3 shares · 5,009 followersView post →
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Litmaps
@LitmapsApp · X
Visualising the citations of the 2020 AlphaFold paper ("Improved protein structure prediction using potentials from deep learning") using Litmaps. #dailymaps #litmaps #literaturemapping #sciencevisualization #dataviz #visualization #research #datascience #accidentalArt https://t.co/4s12VwbnOY
Feb 24, 2021 · 5 likes · 3 shares · 11,565 followersView post →
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David Dávila
@dfdavilao · X
DAY 19 (2021-01-21): Had the monthly journal club meeting with RSG-Ecuador where we discussed the paper: “Improved protein structure prediction using potentials from deep learning”
I encourage @MOSTAFA KAREM MAHMOUD MOHAMED and @M…https://t.co/eQKIdt6gK9 https://t.co/DOuSi2EAFJ
アルファフォールド #AlphaFold って、去年の話「DeepMindのAlphaFold2、タンパク質立体構造予測コンペ(CASP14)でブッチギリ1位」 https://t.co/woxhIAfuhR "Improved protein structure prediction using potentials from deep learning | Nature" https://t.co/wGR8AfeZuG なのに、なぜ今ごろ？ https://t.co/8nqAUz2otK
本日 DeepMind の AlphaFold が Nature から publish されたみたい / “Improved protein structure prediction using potentials from deep learning | Nature” https://t.co/ncSkZCBOqD
Jan 14, 2021 · 2 likes · 1 share · 134 followersView post →
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/MachineLearning
@slashML · X
Deepmind's paper on AlphaFold has just been published! - "Improved protein structure prediction using potentials from deep learning" https://t.co/uAUAFOo8LR
Jan 14, 2021 · 16 likes · 1 share · 124,084 followersView post →
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AIMed
@AIMedHQ · X
Dr @AnthonyChangMD's Article of the Week:
The paper that elucidated the methodology behind @DeepMind’s recent landmark achievement in #molecular #biology
Read more: https://t.co/pBXJOAjUBk
#algorithm #aminoacids #alphafold #science #deeplearning #AI
Dec 23, 2020 · 2 likes · 3,971 followersView post →
Improved protein structure prediction using potentials from deep learning - Has AI solved Protein Folding?
https://t.co/S4LMn2RO8P
Paper:
https://t.co/5U0TCTGWpR
AlphaFold: improved protein structure prediction using potentials from deep learning https://t.co/GOI4n2Uc3v #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics
Dec 4, 2020 · 1 like · 14,483 followersView post →
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Kresten Lindorff-Larsen
@LindorffLarsen · X
@folfDK @DrHorrell I don’t think anyone really understands how it works, but the first incarnation is a ML model that learns the relationship between sequences and structure and is trained on the PDB. A key ingredient is signals extracted from multiple sequence alignments. https://t.co/O5bTMzYMfu
Nov 30, 2020 · 2 likes · 14,688 followersView post →
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Desert
@desertovthereal · X
RT @DrLeoRios: Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning…
Nov 20, 2020 · 4 shares · 517 followersView post →
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El Karoui Lab
@MEKlab · X
RT @DrLeoRios: Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning…
Nov 19, 2020 · 4 shares · 280 followersView post →
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C. Benjamín Arias-Almeida
@the_scifientist · X
RT @DrLeoRios: Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning…
Nov 19, 2020 · 4 shares · 290 followersView post →
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Leonardo Rios
@DrLeoRios · X
Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning. Impressive to see how #AI and #synbio are radically changing the way protein structure can be predicted https://t.co/gEpDavacci
Nov 19, 2020 · 29 likes · 4 shares · 9,350 followersView post →
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UCL Discovery
@ucl_discovery · X
Open Access UCL Research: Improved protein structure prediction using potentials from deep learning https://t.co/NROk6a7R0a
AlphaFold も昔読んだ際、たしか無料で読めるリンクを貼ってなかった気がするので一応貼っておく
Nature "Improved protein structure prediction using potentials from deep learning" https://t.co/QsCNVY0yVv https://t.co/GvsNrTkH7u と解説 https://t.co/fhuVmfGWvf
Oct 3, 2020 · 4 likes · 6,040 followersView post →
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Harry
@HarryHSolo · X
RT @CrelaseV: Improved protein structure prediction using potentials from deep learning https://t.co/hkbwadZvM8 #Improved #ProteinStructure…
Today I read and summarized an early 2020 DeepMind paper proposing AlphaFold, a model that uses dilated convolutions on features of amino acids to predict distances between them, facilitating protein structure prediction. https://t.co/7dfZ1h5RiQ
Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning via @LionelREICHARDT https://t.co/WGsYk13iCc https://t.co/Rn4FpURVs6
Apr 17, 2020 · 1 like · 1 share · 1,708 followersView post →
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Dr. Stefan Gruenwald
@sgruenwald · X
Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning https://t.co/S38C4NNlBz https://t.co/8ANPd1mu62
Improved protein structure prediction using potentials from deep learning https://t.co/yMKLRSpMwN #AI #ML #DeepLearning #DataScience #Biology
Mar 8, 2020 · 1 like · 10,047 followersView post →
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Philippe Schwaller (he/him)
@pschwllr · X
AlphaFold: Improved protein structure prediction using potentials from deep learning - Andrew Senior
https://t.co/My5tvhgykU
Hot topic today, as @DeepMind just presented 6 protein structures associated with #COVID19: https://t.co/8LD5Y6GHeU
AlphaFold represents a considerable advance in protein-structure prediction. Improved protein structure prediction using potentials from deep learning. https://t.co/3ehdJYmQLO cc @SaraRC83 @pcoffeebreak https://t.co/F4xBSVfVHo
Mar 4, 2020 · 9 likes · 4 shares · 45,061 followersView post →
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Dr. Rajeev Bukralia
@rbukralia · X
Improved protein structure prediction using potentials from deep learning https://t.co/yMKLRSpMwN #AI #ML #DeepLearning #DataScience #Biology
Interesting... Improved protein structure prediction using potentials from deep learning - https://t.co/nYlwHojKzB
#tech #technology #datascience #neuralnetworks #ai #ml #machinelearning #deeplearning #agi
Read More Here:
https://t.co/Wk9xqft8Us
RT @mscavazzin: Improved protein structure prediction using potentials from deep learning https://t.co/GFrGsDNrpf #ML #AI
Feb 6, 2020 · 2 shares · 5,591 followersView post →
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AKDM bot!
@akdm_bot · X
RT @mscavazzin: Improved protein structure prediction using potentials from deep learning https://t.co/GFrGsDNrpf #ML #AI
Feb 6, 2020 · 2 shares · 1,493 followersView post →
Pツ
Pinco Pallo ツ
@_pinco_pallo_ · X
Improved protein structure prediction using potentials from deep learning https://t.co/GFrGsDNrpf #ML #AI
Feb 6, 2020 · 2 shares · 5,591 followersView post →
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ChinHuiChen
@jcchinhui · X
RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
Feb 1, 2020 · 69 shares · 278 followersView post →
CS
CRISP_SCIENCE
@ScienceCrisp · X
Improved protein structure prediction using potentials from deep learning. Senior AW, Evans R, Jumper J, Kirkpatrick J, Sifre L et al. Nature 2020-01-15. https://t.co/xP3CPx4Mq5
Jan 31, 2020 · 1 like · 1,932 followersView post →
MU
Marcia... #EmergingTech #URFutureTech
@MFuturetech · X
RT @rbukralia: Improved protein structure prediction using potentials from deep learning https://t.co/JNX6GTtaiG #AI #ML #DeepLearning #Dat…
Improved protein structure prediction using potentials from deep learning #deeplearning https://t.co/XUQh23W2N5 https://t.co/IjS2OH0EJL
Jan 22, 2020 · 1 share · 1,196 followersView post →
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mshingote
@mayur_shingote · X
RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
Jan 22, 2020 · 69 shares · 946 followersView post →
JC
Jennifer Cook
@Jennifer_L_Cook · X
RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
Jan 22, 2020 · 69 shares · 2,409 followersView post →
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mshingote
@mayur_shingote · X
RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
Jan 21, 2020 · 69 shares · 946 followersView post →
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ashish (@acgt01@genomic.social)
@acgt01 · X
RT @mvicaracal: Online @nature: Improved protein structure prediction using potentials from deep learning https://t.co/Op7f4vWjnm #AlphaFol…
Jan 21, 2020 · 26 shares · 729 followersView post →
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