Incorporating global information into secondary structure prediction with hidden Markov models of protein folds

Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, ISMB 1997

Volumn , Issue , 1997, Pages 100-103

  Di Francesco, Valentina ^a   McQueen, Pliìlip ^a   Carnier, Jean ^b   Munson, Peter J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

fold recognition; hidden Markov models; protein structure prediction; secondary structure

Indexed keywords

FORECASTING; PROTEINS; TOPOLOGY; TRELLIS CODES;

FOLD RECOGNITION; GLOBAL INFORMATIONS; HIDDEN-MARKOV MODELS; PREDICTION ACCURACY; PREDICTION SCHEMES; PROTEIN STRUCTURE PREDICTION; SECONDARY STRUCTURE PREDICTION; SECONDARY STRUCTURES; STRUCTURAL INFORMATION; TOPOLOGY FAMILY;

HIDDEN MARKOV MODELS;

ALGORITHM; ARTICLE; CHEMICAL MODEL; PROBABILITY; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; STATISTICAL MODEL;

ALGORITHMS; LOGISTIC MODELS; MARKOV CHAINS; MODELS, CHEMICAL; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; SEQUENCE ALIGNMENT;

EID: 0030631887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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