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Highly accurate protein structure prediction with AlphaFold

Author(s)

K. Tunyasuvunakool, J. Adler, Z. Wu, T. Green, M. Zielinski, A. Žídek, A. Bridgland, A. Cowie, C. Meyer, A. Laydon, S. Velankar, G.J. Kleywegt, A. Bateman, R. Evans, A. Pritzel, M. Figurnov, O. Ronneberger, R. Bates, S.A.A. Kohl, A. Potapenko, A.J. Ballard, B. Romera-Paredes, S. Nikolov, R. Jain, E. Clancy, D. Reiman, S. Petersen, A.W. Senior, K. Kavukcuoglu, E. Birney, P. Kohli, J. Jumper & D. Hassabis

Sources

Highly accurate protein structure prediction with AlphaFold https://doi.org/10.1038/ s41586-021-03819-2 (2021). https://doi.org/10.1038/s41586-021-03819-2 Nature

The transformative artificial intelligence (AI) tool called AlphaFold, has predicted the 3 dimensional structures of nearly the entire human proteome (98.5% of human proteins). The resulting dataset covers 58% of residues with a confident prediction, of which a subset (36% of all residues) have very high confidence. Furthermore, the tool has predicted almost complete proteomes for various other organisms, ranging from mice and maize (corn) to the malaria parasite.
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The predicted 3 dimensional structures are freely available to the community via a public database hosted by the European Bioinformatics Institute at https://alphafold.ebi.ac.uk/.

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