A two-stage approach for improved prediction of residue contact maps

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Vullo, Alessandro ^a   Walsh, Ian ^a   Pollastri, Gianluca ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

AB INITIO PREDICTION; BIDIRECTIONAL RECURRENT NEURAL NETWORKS; CLASSIFICATION PERFORMANCE; LONG RANGE INTERACTIONS; PRINCIPAL EIGEN-VECTOR; SECONDARY STRUCTURES; STATE-OF-THE-ART PERFORMANCE; TWO-STAGE APPROACHES;

MAPPING; PROTEINS; RECURRENT NEURAL NETWORKS; TWO DIMENSIONAL;

FORECASTING;

AMINO ACID; PROTEIN;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CONFIDENCE INTERVAL; CONTROLLED STUDY; GENE MAPPING; GENE VECTOR; HYDROPHOBICITY; MATHEMATICAL COMPUTING; PREDICTION; PROTEIN ANALYSIS; PROTEIN INTERACTION; PROTEIN STRUCTURE; PROTEIN TARGETING; SEPARATION TECHNIQUE; ALGORITHM; BINDING SITE; BIOLOGY; CHEMICAL PHENOMENA; CHEMICAL STRUCTURE; CHEMISTRY; PROTEIN CONFORMATION; PROTEIN FOLDING;

ALGORITHMS; AMINO ACID SEQUENCE; BINDING SITES; COMPUTATIONAL BIOLOGY; HYDROPHOBIC AND HYDROPHILIC INTERACTIONS; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS;

EID: 33745610096     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-180     Document Type: Article

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