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Glygen Corporation
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Databank Inc
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Molecular Dynamics Inc
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Merck & Co
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Cambridge Crystallographic
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Astex Inc
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Molecular Dynamics Inc
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Cambridge Crystallographic
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Molecular Dynamics Inc
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Journal: Nature Machine Intelligence
Article Title: Assessing the potential of deep learning for protein–ligand docking
doi: 10.1038/s42256-025-01160-1
Figure Lengend Snippet: Astex Diverse primary ligand docking success rates ( n = 85 protein–ligand complexes). Data are presented as mean values ± s.d. over three independent predictions for each complex.
Article Snippet:
Techniques:
Journal: Nature Machine Intelligence
Article Title: Assessing the potential of deep learning for protein–ligand docking
doi: 10.1038/s42256-025-01160-1
Figure Lengend Snippet: DockGen-E primary ligand docking success rates ( n = 122 protein–ligand complexes). Data are presented as mean values ± s.d. over three independent predictions for each complex.
Article Snippet:
Techniques:
Journal: Nature Machine Intelligence
Article Title: Assessing the potential of deep learning for protein–ligand docking
doi: 10.1038/s42256-025-01160-1
Figure Lengend Snippet: PoseBusters Benchmark primary ligand docking success rates ( n = 130/308 protein–ligand complexes). Data are presented as mean values ± s.d. over three independent predictions for each complex.
Article Snippet:
Techniques:
Journal: Nature Machine Intelligence
Article Title: Assessing the potential of deep learning for protein–ligand docking
doi: 10.1038/s42256-025-01160-1
Figure Lengend Snippet: CASP15 multiligand docking success rates ( n = 13 protein–ligand complexes). Data are presented as mean values ± s.d. over three independent predictions for each complex.
Article Snippet:
Techniques:
Journal: Nature Machine Intelligence
Article Title: Assessing the potential of deep learning for protein–ligand docking
doi: 10.1038/s42256-025-01160-1
Figure Lengend Snippet: CASP15 single-ligand docking success rates (n=6 protein-ligand complexes). Data are presented as mean values +/- standard deviations over three independent predictions for each complex.
Article Snippet:
Techniques: