Performance of a neural-network-based determination of amino acid class and secondary structure from 1H-15N NMR data

Journal of Biomolecular NMR

Volumn 10, Issue 1, 1997, Pages 45-52

  Huang, Kai ^a   Andrec, Michael ^a   Heald, Sarah ^b   Blake, Paul ^b   Prestegard, James H ^a  

^a YALE UNIVERSITY   (United States)

^b BAYER CORPORATION   (United States)

Author keywords

15N labeled proteins; Automated assignment; Protein structure

Indexed keywords

AMINO ACID; HYDROGEN; NITROGEN; PROTEIN; UBIQUITIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE; PROTEIN SECONDARY STRUCTURE; REPRODUCIBILITY;

AMINO ACIDS; HUMANS; HYDROGEN; NEURAL NETWORKS (COMPUTER); NITROGEN ISOTOPES; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; PROTEIN STRUCTURE, SECONDARY; PROTEINS; REPRODUCIBILITY OF RESULTS; UBIQUITINS;

EID: 0031173747     PISSN: 09252738     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1018340603528     Document Type: Article

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