Nature Communications (Sep 2019)
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints
Abstract
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.