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. The process of model generation provides information on the viability of predicted contacts, indicating there is potential to combine the two steps .
After revision: The use of deep learning for protein residue-residue contacts to be predicted accurately even for shallow sequence alignments .