Ontology highlight
ABSTRACT:
SUBMITTER: Greener JG
PROVIDER: S-EPMC6726615 | biostudies-literature | 2019 Sep
REPOSITORIES: biostudies-literature
Greener Joe G JG Kandathil Shaun M SM Jones David T DT
Nature communications 20190904 1
The inapplicability of amino acid covariation methods to small protein families has limited their use for structural annotation of whole genomes. Recently, deep learning has shown promise in allowing accurate residue-residue contact prediction even for shallow sequence alignments. Here we introduce DMPfold, which uses deep learning to predict inter-atomic distance bounds, the main chain hydrogen bond network, and torsion angles, which it uses to build models in an iterative fashion. DMPfold prod ...[more]