Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy

Protein Science

Volumn 11, Issue 11, 2002, Pages 2735-2739

  Martelli, Pier Luigi ^a   Fariselli, Piero ^a   Malaguti, Luca ^a   Casadio, Rita ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Cysteine bonding state; Hidden Markov models; Hidden neural networks; Neural networks

Indexed keywords

CYSTEINE; PROTEIN; DISULFIDE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DISULFIDE BOND; MOLECULAR DYNAMICS; MOLECULAR MODEL; PRIORITY JOURNAL; PROBABILITY; STRUCTURE ANALYSIS; CHEMISTRY; PROTEIN DATABASE; PROTEIN TERTIARY STRUCTURE; RETRACTED ARTICLE; THEORETICAL MODEL;

CYSTEINE; DATABASES, PROTEIN; DISULFIDES; MARKOV CHAINS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, TERTIARY; PROTEINS;

EID: 0036839271     PISSN: 09618368     EISSN: None     Source Type: Journal    
DOI: 10.1110/ps.0219602     Document Type: Article

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