Improved protein structure prediction using potentials from deep learning.

Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W R Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli

January 2020 Nature

Synopsis of Social media discussions

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.

A
Agreement
 Strong agreement

Most discussions express strong support and excitement about the significance of the research, reflecting widespread agreement on its importance.

I
Interest
 High level of interest

Posts show high interest, with many mentioning the breakthrough's potential and citing specific scientific details and broader implications.

E
Engagement
 High engagement

The discussions include references to methods, citations, relevancy to COVID-19, and ongoing debates, indicating deep engagement.

I
Impact
 High level of impact

Many posts emphasize the revolutionary potential of AlphaFold for molecular biology, genomics, and drug discovery, signaling high impact.

Social Mentions

YouTube

2 Videos

Facebook

1 Posts

Twitter

84 Posts

Instagram

1 Posts

TikTok

1 Posts

News

11 Articles

Metrics

Video Views

3,384

Total Likes

172

Extended Reach

564,644

Social Features

100

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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  • DianneW
    @diannew314159 (Twitter)

    RT @IntegralAnswers: 12/ 4.Senior et al., Nature 2020 — doi:10.1038/s41586-019-1923-7 5.Callaway, Nature News 2020 — doi:10.1038/d41586-020…
    view full post

    September 24, 2025

    1

  • IntegralAnswers
    @IntegralAnswers (Twitter)

    12/ 4.Senior et al., Nature 2020 — doi:10.1038/s41586-019-1923-7 5.Callaway, Nature News 2020 — doi:10.1038/d41586-020-03348-4 6.https://t.co/hFKcPc1lAX
    view full post

    September 24, 2025

    3

    1

  • Pub.Reading
    @PubReading (Twitter)

    ▶️Listen to PubReading [116] - Improved protein structure prediction using potentials from deep learning - A. Senior, D. Hassabis et al. https://t.co/zAVYCdoLxy
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    May 26, 2022

  • MountMithridatWarsΣκυθική.ΝεάPaλntikap
    @Andre_Taibei (Twitter)

    RT @cao_lab: Improved protein structure prediction using potentials from deep learning https://t.co/NKeCdI6laH
    view full post

    February 20, 2022

    1

  • DrCAO (iprotein.nft) | AIWeb3
    @cao_lab (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/NKeCdI6laH
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    February 20, 2022

    1

    1

  • Prof. Dr. Sanjeev Bagai
    @BagaiDr (Twitter)

    Improved protein structure prediction using potentials from deep learning | Nature https://t.co/DwVpWpndn1
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    August 3, 2021

    2

  • Flying Scholars – CS
    @FlyScholarsCS (Twitter)

    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!
    view full post

    July 25, 2021

  • PyScale
    @PyScaleLLC (Twitter)

    RT @keefer007: Improved protein structure prediction using potentials from deep learning https://t.co/Fagwj6VQxN #ccme2021 #covid19 #ai #ar…
    view full post

    April 18, 2021

    1

  • Keith Wilson
    @keefer007 (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/Fagwj6VQxN #ccme2021 #covid19 #ai #artificialintelligence
    view full post

    April 18, 2021

    1

    1

  • Eddie Biggles
    @EddieBiggles (Twitter)

    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
    view full post

    March 3, 2021

  • Aaron Tay
    @aarontay (Twitter)

    RT @LitmapsApp: Visualising the citations of the 2020 AlphaFold paper ("Improved protein structure prediction using potentials from deep le…
    view full post

    February 25, 2021

    3

  • godfrey™
    @godfrey_G_ (Twitter)

    RT @LitmapsApp: Visualising the citations of the 2020 AlphaFold paper ("Improved protein structure prediction using potentials from deep le…
    view full post

    February 24, 2021

    3

  • Litmaps
    @LitmapsApp (Twitter)

    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
    view full post

    February 24, 2021

    5

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  • David Dávila
    @dfdavilao (Twitter)

    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
    view full post

    January 21, 2021

  • İsmail Haberal
    @ismail_haberal (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/WSgySUlfWs
    view full post

    January 21, 2021

  • 萬福(笑門來福)☔️ c7+i
    @wan4fu2 (Twitter)

    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
    view full post

    January 15, 2021

  • あけび
    @childinoma (Twitter)

    RT @hnishi2509: 本日 DeepMind の AlphaFold が Nature から publish されたみたい / “Improved protein structure prediction using potentials from deep lear…
    view full post

    January 15, 2021

    1

  • Kobchai Duangrattanalert
    @kobachii_d (Twitter)

    RT @slashML: Deepmind's paper on AlphaFold has just been published! - "Improved protein structure prediction using potentials from deep lea…
    view full post

    January 15, 2021

    1

  • hnishi
    @hnishi2509 (Twitter)

    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
    view full post

    January 14, 2021

    2

    1

  • /MachineLearning
    @slashML (Twitter)

    Deepmind's paper on AlphaFold has just been published! - "Improved protein structure prediction using potentials from deep learning" https://t.co/uAUAFOo8LR
    view full post

    January 14, 2021

    16

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  • AIMed
    @AIMedHQ (Twitter)

    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
    view full post

    December 23, 2020

    2

  • S F
    @Soctakos (Twitter)

    Open sourceある。 DOI 10.1038/s41586-019-1923-7
    view full post

    December 7, 2020

    1

  • Harry
    @HarryHSolo (Twitter)

    RT @ShahNeel: Improved protein structure prediction using potentials from deep learning - Has AI solved Protein Folding? https://t.co/S4LM…
    view full post

    December 5, 2020

    1

  • Neel Shah MD
    @ShahNeel (Twitter)

    Improved protein structure prediction using potentials from deep learning - Has AI solved Protein Folding? https://t.co/S4LMn2RO8P Paper: https://t.co/5U0TCTGWpR
    view full post

    December 5, 2020

    1

  • Deep_In_Depth
    @Deep_In_Depth (Twitter)

    AlphaFold: improved protein structure prediction using potentials from deep learning https://t.co/GOI4n2Uc3v #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics
    view full post

    December 4, 2020

    1

  • Kresten Lindorff-Larsen
    @LindorffLarsen (Twitter)

    @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
    view full post

    November 30, 2020

    2

  • Desert
    @desertovthereal (Twitter)

    RT @DrLeoRios: Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning…
    view full post

    November 20, 2020

    4

  • El Karoui Lab
    @MEKlab (Twitter)

    RT @DrLeoRios: Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning…
    view full post

    November 19, 2020

    4

  • C. Benjamín Arias-Almeida
    @the_scifientist (Twitter)

    RT @DrLeoRios: Great @SynthSysEd seminar from Sandy Nelson about “Improved protein structure prediction using potentials from deep learning…
    view full post

    November 19, 2020

    4

  • Leonardo Rios
    @DrLeoRios (Twitter)

    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
    view full post

    November 19, 2020

    29

    4

  • UCL Discovery
    @ucl_discovery (Twitter)

    Open Access UCL Research: Improved protein structure prediction using potentials from deep learning https://t.co/NROk6a7R0a
    view full post

    October 8, 2020

  • とりさん
    @biochem_fan (Twitter)

    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
    view full post

    October 3, 2020

    4

  • Harry
    @HarryHSolo (Twitter)

    RT @CrelaseV: Improved protein structure prediction using potentials from deep learning https://t.co/hkbwadZvM8 #Improved #ProteinStructure…
    view full post

    July 31, 2020

    1

  • Stephan Dreyse
    @sDreyse (Twitter)

    RT @ContinuumPharma: Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning https://t.co/UwATe…
    view full post

    May 15, 2020

    1

  • Continuum Health
    @ContinuumPharma (Twitter)

    Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning https://t.co/UwATeWplq1 https://t.co/eEdRuRpW1E
    view full post

    May 15, 2020

    1

  • Matthieu Pichaud
    @MatPich (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/3rIKj4aYXh
    view full post

    May 13, 2020

    1

  • Dennis Lal
    @LalDennis (Twitter)

    Improved protein structure prediction using potentials from deep learning. https://t.co/V5anmVxilu
    view full post

    May 6, 2020

  • Cody Wild
    @decodyng (Twitter)

    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
    view full post

    April 24, 2020

    3

  • 1876
    @a1876o (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    April 20, 2020

    69

  • Don Coles
    @ozsilverfox (Twitter)

    Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning via @sgruenwald https://t.co/uDgrQRe2hH
    view full post

    April 17, 2020

  • Sahba Ferdowsi DO (conciergedoc)
    @DrFerdowsi (Twitter)

    RT @dgodefroyfr: Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning via @LionelREICHARDT h…
    view full post

    April 17, 2020

    1

  • Dominique Godefroy
    @dgodefroyfr (Twitter)

    Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning via @LionelREICHARDT https://t.co/WGsYk13iCc https://t.co/Rn4FpURVs6
    view full post

    April 17, 2020

    1

    1

  • Dr. Stefan Gruenwald
    @sgruenwald (Twitter)

    Googe/Deepmind AlphaFold: Improved protein structure prediction using potentials from deep learning https://t.co/S38C4NNlBz https://t.co/8ANPd1mu62
    view full post

    April 17, 2020

  • plrreseller.store
    @plrreseller (Twitter)

    AlphaFold: improved protein structure prediction using potentials from deep learning https://t.co/3G9pG5vzf9
    view full post

    April 1, 2020

  • Dr. Rajeev Bukralia
    @rbukralia (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/yMKLRSpMwN #AI #ML #DeepLearning #DataScience #Biology
    view full post

    March 8, 2020

    1

  • Philippe Schwaller (he/him)
    @pschwllr (Twitter)

    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
    view full post

    March 5, 2020

  • Scott H. Hawley @ GradingPapers 2025
    @drscotthawley (Twitter)

    Open access link to the AlphaFold paper in Nature: https://t.co/zZTlumpzuO https://t.co/XyI4MgmbPB
    view full post

    March 5, 2020

  • Thubandactylus. L'Ignito Nefario.
    @Thuban_Isesi (Twitter)

    RT @emulenews: AlphaFold represents a considerable advance in protein-structure prediction. Improved protein structure prediction using pot…
    view full post

    March 4, 2020

    4

  • Coffee Break: Señal y Ruido
    @pcoffeebreak (Twitter)

    RT @emulenews: AlphaFold represents a considerable advance in protein-structure prediction. Improved protein structure prediction using pot…
    view full post

    March 4, 2020

    4

  • La Enzima Inquieta #ViajandoConCiencia
    @SaraRC83 (Twitter)

    RT @emulenews: AlphaFold represents a considerable advance in protein-structure prediction. Improved protein structure prediction using pot…
    view full post

    March 4, 2020

    4

  • Jorgeascen
    @Jorgeascen (Twitter)

    RT @emulenews: AlphaFold represents a considerable advance in protein-structure prediction. Improved protein structure prediction using pot…
    view full post

    March 4, 2020

    4

  • Francis Villatoro
    @emulenews (Twitter)

    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
    view full post

    March 4, 2020

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  • Dr. Rajeev Bukralia
    @rbukralia (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/yMKLRSpMwN #AI #ML #DeepLearning #DataScience #Biology
    view full post

    March 2, 2020

  • Hacker News YC
    @newsycbot (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/37wLjw2AeZ (cmts https://t.co/xgibVHYSKi)
    view full post

    February 22, 2020

  • (((JReuben1)))
    @jreuben1 (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/PxVcI16Vzc #Bioinformatics
    view full post

    February 21, 2020

  • Angsuman Chakraborty ✪
    @angsuman (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/eztdmkGPK5
    view full post

    February 21, 2020

  • HackerNewsTop10
    @HackerNewsTop10 (Twitter)

    Improved protein structure prediction using potentials from deep learning Link: https://t.co/eVEUwDvxmy Comments: https://t.co/x4FhVogAa1
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    February 21, 2020

  • Gulshan y singh
    @Gulshansingh206 (Twitter)

    New top story on Hacker News: Improved protein structure prediction using potentials from deep learning https://t.co/fIDOLOtPwP
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    February 21, 2020

  • sjoerdapp
    @sjoerdapp (Twitter)


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    February 21, 2020

  • Winson Tang
    @winsontang (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/TJpMBIruus
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    February 21, 2020

  • HN Front Page
    @hn_frontpage (Twitter)

    Improved protein structure prediction using potentials from deep learning L: https://t.co/ZEgLKrHPQI C: https://t.co/5dtHRW43Ut
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    February 21, 2020

  • Chuck Russell
    @cichuck (Twitter)

    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
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    February 14, 2020

  • Pinco Pallo ツ
    @_pinco_pallo_ (Twitter)

    RT @mscavazzin: Improved protein structure prediction using potentials from deep learning https://t.co/GFrGsDNrpf #ML #AI
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    February 6, 2020

    2

  • AKDM bot!
    @akdm_bot (Twitter)

    RT @mscavazzin: Improved protein structure prediction using potentials from deep learning https://t.co/GFrGsDNrpf #ML #AI
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    February 6, 2020

    2

  • Pinco Pallo ツ
    @_pinco_pallo_ (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/GFrGsDNrpf #ML #AI
    view full post

    February 6, 2020

    2

  • ChinHuiChen
    @jcchinhui (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    February 1, 2020

    69

  • CRISP_SCIENCE
    @ScienceCrisp (Twitter)

    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
    view full post

    January 31, 2020

    1

  • Marcia... #EmergingTech #URFutureTech
    @MFuturetech (Twitter)

    RT @rbukralia: Improved protein structure prediction using potentials from deep learning https://t.co/JNX6GTtaiG #AI #ML #DeepLearning #Dat…
    view full post

    January 31, 2020

    1

  • Dr. Rajeev Bukralia
    @rbukralia (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/JNX6GTtaiG #AI #ML #DeepLearning #DataScience #Biology
    view full post

    January 31, 2020

    2

    1

  • Pavlov's Cat
    @A_P_lex (Twitter)

    RT @kassonlab: The AlphaFold paper is now out. Interested to read the details... https://t.co/2owaI4rKhr
    view full post

    January 29, 2020

    1

  • Peter Kasson @peterkasson@med-mastodon.com
    @kassonlab (Twitter)

    The AlphaFold paper is now out. Interested to read the details... https://t.co/2owaI4rKhr
    view full post

    January 29, 2020

    3

    1

  • Dr. Rajeev Bukralia
    @rbukralia (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/JNX6GTbzr8 #AI #ML #DeepLearning #DataScience #Biology
    view full post

    January 29, 2020

    1

  • Bishop Jack
    @JacobMagoto (Twitter)

    RT @PanosSarris: Improved protein structure prediction using potentials from deep learning. https://t.co/HMrGXyftYu
    view full post

    January 27, 2020

    1

  • Panagiotis Sarris
    @PanosSarris (Twitter)

    Improved protein structure prediction using potentials from deep learning. https://t.co/HMrGXyftYu
    view full post

    January 25, 2020

    2

    1

  • mshingote
    @mayur_shingote (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    January 24, 2020

    69

  • mshingote
    @mayur_shingote (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    January 23, 2020

    69

  • Jawahar Swaminathan
    @jswamin (Twitter)

    Improved protein structure prediction using potentials from deep learning https://t.co/ZjddWEXJsg
    view full post

    January 23, 2020

  • mshingote
    @mayur_shingote (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    January 22, 2020

    69

  • A.I. Bot
    @LazyBot6 (Twitter)

    RT @milesboard: Improved protein structure prediction using potentials from deep learning #deeplearning https://t.co/XUQh23W2N5 https://t.c…
    view full post

    January 22, 2020

    1

  • ═╬╬═
    @milesboard (Twitter)

    Improved protein structure prediction using potentials from deep learning #deeplearning https://t.co/XUQh23W2N5 https://t.co/IjS2OH0EJL
    view full post

    January 22, 2020

    1

  • mshingote
    @mayur_shingote (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    January 22, 2020

    69

  • Jennifer Cook
    @Jennifer_L_Cook (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    January 22, 2020

    69

  • mshingote
    @mayur_shingote (Twitter)

    RT @DeepMind: Read our @nature paper 'Improved protein structure prediction using potentials from deep learning' online here: https://t.co/…
    view full post

    January 21, 2020

    69

  • ashish (@acgt01@genomic.social)
    @acgt01 (Twitter)

    RT @mvicaracal: Online @nature: Improved protein structure prediction using potentials from deep learning https://t.co/Op7f4vWjnm #AlphaFol…
    view full post

    January 21, 2020

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Abstract Synopsis

  • 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.