Nature Communications (Sep 2019)

Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints

  • Joe G. Greener,
  • Shaun M. Kandathil,
  • David T. Jones

DOI
https://doi.org/10.1038/s41467-019-11994-0
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 13

Abstract

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Prediction of protein structures on the scale of genomes remains a challenge. Here the authors introduce a protein structure prediction method that uses deep learning to predict inter-atomic distances, torsion angles and hydrogen bonds, and apply it to predict the structures of 1475 Pfam domains.