• Mashup Score: 22
    Harnessing protein folding neural networks for peptide–protein docking - Nature Communications - 2 year(s) ago

    AlphaFold2 has originally been developed to provide highly accurate predictions of protein monomer structures. Here, the authors present a simple adaptation of AlphaFold2 that enables structural modeling of peptide–protein complexes, and explore the underlying mechanisms and limitations of this approach.

    Source: Nature
    Categories: General Medicine News, Latest Headlines
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      NatureComms

      Protein structure prediction by deep learning was just named the @naturemethods Method of the Year, and now @TomerTsaban @jvarga92 @AvrahamOrly @OraFurman et al. show that #AlphaFold 2 can be adapted to predict protein-peptide complex structures @FurmanLab https://t.co/WjqZrim7jY https://t.co/wlJ88RuuKd

  • Mashup Score: 8
    Harnessing protein folding neural networks for peptide–protein docking - Nature Communications - 2 year(s) ago

    AlphaFold2 has originally been developed to provide highly accurate predictions of protein monomer structures. Here, the authors present a simple adaptation of AlphaFold2 that enables structural modeling of peptide–protein complexes, and explore the underlying mechanisms and limitations of this approach.

    Source: Nature
    Categories: General Medicine News, Latest Headlines
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    • Profile photo of NatureComms
      NatureComms

      Protein structure prediction by deep learning was just named the @naturemethods Method of the Year, and now @TomerTsaban @jvarga92 @AvrahamOrly @OraFurman et al. show that #AlphaFold 2 can be adapted to predict protein-peptide complex structures @FurmanLab https://t.co/WjqZrim7jY https://t.co/eQBRkziMI6

  • Mashup Score: 18
    Computed structures of core eukaryotic protein complexes - 3 year(s) ago

    Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take …

    Source: Science
    Categories: Future of Medicine, Latest Headlines
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      ScienceMagazine

      Using a combination of #RoseTTAFold and #AlphaFold to screen millions of pairs of yeast proteins, researchers in Science identified over 1500 pairs likely to interact. The results will advance understanding of cellular processes, the authors say. https://t.co/ZhfeJtPCyJ https://t.co/vHoOznDV8n

  • Mashup Score: 56
    Computed structures of core eukaryotic protein complexes - 3 year(s) ago

    Protein-protein interactions play critical roles in biology, but the structures of many eukaryotic protein complexes are unknown, and there are likely many interactions not yet identified. We take …

    Source: Science
    Categories: Future of Medicine, Latest Headlines
    Tweet Tweets with this article
    • Profile photo of ScienceMagazine
      ScienceMagazine

      Using a combination of #RoseTTAFold and #AlphaFold to screen millions of pairs of yeast proteins, researchers in Science identified over 1500 pairs likely to interact. The results will advance understanding of cellular processes, the authors say. https://t.co/ZhfeJtPCyJ https://t.co/UX34Ffim7T

  • Mashup Score: 1
    AlphaFold Protein Structure Database - 3 year(s) ago

    AlphaFold Protein Structure Database

    Source: alphafold.ebi.ac.uk
    Categories: Cardiologists, Latest Headlines
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    • Profile photo of domingomarzal
      domingomarzal

      #omics from #genome to #proteome @DeepMind & @embl have partnered - a breakthrough for #science - to make #AlphaFold Protein Structure Database (https://t.co/p3VCSPFQr6) with 3D structures of nearly every protein in the #human body. #FAIRdata #Opendata https://t.co/q74TQ0ThgG

  • Mashup Score: 5
    Highly accurate protein structure prediction with AlphaFold - Nature - 3 year(s) ago

    Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort1–4, the structures of around 100,000 unique proteins have been determined5, but this represents a small fraction of the billions of known protein sequences6,7. Structural coverage is bottlenecked by the months to years of…

    Source: Nature
    Categories: Healthcare Professionals, Latest Headlines
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    • Profile photo of westr
      westr

      #DeepMind and a rival release dueling code for protein-folding #AI Re: @nature: https://t.co/dcqL8g5otD Highly accurate #proteinstructure prediction with #AlphaFold https://t.co/m6ak7Bl820

  • Mashup Score: 18
    Highly accurate protein structure prediction with AlphaFold - Nature - 3 year(s) ago

    Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort1–4, the structures of around 100,000 unique proteins have been determined5, but this represents a small fraction of the billions of known protein sequences6,7. Structural coverage is bottlenecked by the months to years of…

    Source: Nature
    Categories: Hem/Oncs, Latest Headlines
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    • Profile photo of DrBonillaOnc
      DrBonillaOnc

      RT @alvie_barr: EXCITING NEWS! Google AI’s #AlphaFold Paper Published in Nature (with open-source code) Nature: https://t.co/njNFGEu5nJ G…

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