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.
alphafold.png
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/.

Latest news

recognize sialic acid residues on cell surfaces. Pathogens and tumor cells exploit Siglecs to evade...

Glycans are flexible molecules that can adopt multiple conformations, granting them significant biological versatility. However,...

Cellulose, a pivotal component of plant cell walls, is a widely studied biologically derived material...

Fares, M., Imberty, A.  & Titz, A Bacteria often utilize their lectins to promote pathogenesis....