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CASP
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== AlphaFold == In December 2018, CASP13 made headlines when it was won by [[AlphaFold]], an [[artificial intelligence]] program created by [[DeepMind]].<ref>{{cite news |last1=Sample |first1=Ian |title=Google's DeepMind predicts 3D shapes of proteins |url=https://www.theguardian.com/science/2018/dec/02/google-deepminds-ai-program-alphafold-predicts-3d-shapes-of-proteins |access-date=19 July 2019 |work=The Guardian |date=2 December 2018}}</ref> In November 2020, an improved version 2 of AlphaFold won CASP14.<ref>{{cite web |title=DeepMind's protein-folding AI has solved a 50-year-old grand challenge of biology |url=https://www.technologyreview.com/2020/11/30/1012712/deepmind-protein-folding-ai-solved-biology-science-drugs-disease/ |website=MIT Technology Review |access-date=30 November 2020 |language=en}}</ref> According to one of CASP co-founders John Moult, AlphaFold scored around 90 on a 100-point scale of prediction accuracy for moderately difficult protein targets.<ref>{{cite journal |url=https://www.nature.com/articles/d41586-020-03348-4 |doi=10.1038/d41586-020-03348-4 |title='It will change everything': DeepMind's AI makes gigantic leap in solving protein structures |year=2020 |last1=Callaway |first1=Ewen |journal=Nature |volume=588 |issue=7837 |pages=203β204 |pmid=33257889 |s2cid=227243204|url-access=subscription }}</ref> AlphaFold was made [[open source]] in 2021, and in CASP15 in 2022, while DeepMind did not enter, virtually all of the high-ranking teams used AlphaFold or modifications of AlphaFold.<ref>{{Cite web |last=Schreiner |first=Maximilian |date=2022-12-14 |title=CASP15: AlphaFold's success spurs new challenges in protein-structure prediction |url=https://the-decoder.com/casp15-alphafolds-success-brings-new-challenges/ |access-date=2023-02-13 |website=The Decoder |language=en-US}}</ref>
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