Before revision: The use of deep learning for protein residue-residue contact prediction has not extended to template-free model generation, with current methods using predicted contacts to enhance existing approaches.
After revision: New algorithms for exploiting amino acid covariation have had a large impact on de novo protein modelling. The limited applicability of these methods to smaller protein families has limited their use for structural annotation of whole genomes, however. Most recently, deep learning techniques have shown promise in allowing residue-residue contact prediction has not extended to template-free model generation, with current methods using predicted contacts to enhance existing approaches.