# OnCo record paper-alphafold2-jumper-nature-2021 (paper). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)". Whole corpus: https://onco.cc/api/v1/onco.nt
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<https://onco.cc/key-papers/paper-alphafold2-jumper-nature-2021/>
  a schema:ScholarlyArticle ;
  onco:kind "paper" ;
  schema:identifier "paper-alphafold2-jumper-nature-2021" ;
  schema:name "AlphaFold 2: predicting protein structures to near-experimental accuracy"@en ;
  schema:description "DeepMind's neural network predicted protein structures at CASP14 with a median backbone error of under 1 angstrom, comparable to experimental methods, and the team released predicted structures for essentially every human protein within a year."@en ;
  schema:url <https://onco.cc/key-papers/paper-alphafold2-jumper-nature-2021/> ;
  schema:dateModified "2026-09-08"^^xsd:date ;
  schema:citation <https://doi.org/10.1038/s41586-021-03819-2>, <https://alphafold.ebi.ac.uk> ;
  schema:sameAs <https://doi.org/10.1038/s41586-021-03819-2> ;
  schema:datePublished "2021"^^xsd:gYear ;
  schema:author "Jumper J, Evans R, Pritzel A, et al." ;
  onco:related <https://onco.cc/technologies/alphafold3/>, <https://onco.cc/technologies/de-novo-protein-design/>, <https://onco.cc/ideas/idea-multimodal-foundation-model/> ;
  onco:sections <https://onco.cc/fronts/drug-discovery/>, <https://onco.cc/fronts/ai-computation/> ;
  onco:technologies <https://onco.cc/technologies/ai-drug-design/>, <https://onco.cc/technologies/structural-biology-infrastructure/> ;
  onco:bottlenecks <https://onco.cc/bottlenecks/b-undruggable-targets/>, <https://onco.cc/bottlenecks/b-translational-valley/>, <https://onco.cc/bottlenecks/b-ai-validation/> ;
  onco:journals <https://onco.cc/journals/nature/> .