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Engineering >> 2021, Volume 7, Issue 6 doi: 10.1016/j.eng.2021.04.003

Artificial Intelligence Cracks a 50-Year-Old Grand Challenge in Biology

Senior Technology Writer

Available online: 2021-04-18

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References

[ 1 ] AlphaFold: a solution to a 50-year-old grand challenge in biology [Internet]. London: DeepMind; 2020 Nov 30 [cited 2021 Feb 4]. Available from: https:// deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grandchallenge-in-biology. link1

[ 2 ] Callaway E. ‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures. Nature 2020;588:203–4. link1

[ 3 ] About variants of the virus that causes COVID-19 [Internet]. Atlanta: Centers for Disease Control and Prevention; [updated 2021 Feb 12; cited 2021 Feb 26]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/transmission/ variant.html. link1

[ 4 ] Dill KA, Ozkan SB, Shell MS, Weikl TR. The protein folding problem. Ann Rev Biophys 2008;37:289–316. link1

[ 5 ] Protein folding and the thermodynamic hypothesis, 1950–1962. [Internet]. Washington, DC: US National Library of Medicine; [cited 2021 Feb 18]. Available from: https://profiles.nlm.nih.gov/spotlight/kk/feature/ protein. link1

[ 6 ] Moult J, Pedersen JT, Judson R, Fidelis KA. A large-scale experiment to assess protein structure prediction methods. Proteins Struct Funct Bioinform 1995;23(3):ii–v. link1

[ 7 ] Senior AW, Evans R, Jumper J, Kirkpatrick J, Sifre L, Green T, et al. Improved protein structure prediction using potentials from deep learning. Nature 2020;577:706–10. link1

[ 8 ] 14th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction [Internet]. Davis: University of California, Davis; c2007–2020 [cited 2021 Feb 18]. Available from: https:// predictioncenter.org/casp14/results.cgi?groups_id=205&submit=Submit. link1

[ 9 ] Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Tunyasuvunakool K, et al. High accuracy protein structure prediction using deep learning. In: Critical Assessment of Techniques for Protein Structure Prediction (CASP14), abstract book; 2020 Nov 30–Dec 4; online conference. 2020.

[10] Computational predictions of protein structures associated with COVID-19 [Internet]. London: DeepMind; 2020 Aug 4 [cited 2021 Feb 18]. Available from: https://deepmind.com/research/open-source/computationalpredictions-of-protein-structures-associated-with-COVID-19. link1

[11] Cao L, Goreshnik I, Coventry B, Case JB, Miller L, Kozodoy L, et al. De novo design of picomolar SARS-CoV-2 miniprotein inhibitors. Science 2020;370 (6515):426–31. link1

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