Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks

Journal of Biomolecular NMR

Volumn 56, Issue 3, 2013, Pages 227-241

  Shen, Yang ^a   Bax, Ad ^a  

^a NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

Author keywords

Backbone and sidechain conformation; Dynamics; Heteronuclear chemical shift; Order parameter; Protein structure; Secondary structure; SPARTA; TALOS

Indexed keywords

HEPTAPEPTIDE; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CARBON NUCLEAR MAGNETIC RESONANCE; NITROGEN NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; PROTON NUCLEAR MAGNETIC RESONANCE; X RAY CRYSTALLOGRAPHY;

ALGORITHMS; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROTEIN CONFORMATION; PROTEINS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84880132018     PISSN: 09252738     EISSN: 15735001     Source Type: Journal    
DOI: 10.1007/s10858-013-9741-y     Document Type: Article

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