Predicting dihedral angle probability distributions for protein coil residues from primary sequence using neural networks

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages 338-

  Helles, Glennie ^a   Fonseca, Rasmus ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; DIHEDRAL ANGLE; FORECASTING; NEURAL NETWORKS; PROTEINS;

AMINO ACID SEQUENCE; INTERNAL STRUCTURE; PREDICTION ACCURACY; PROTEIN STRUCTURE PREDICTION; SECONDARY STRUCTURE PREDICTION; TERTIARY STRUCTURES; THREE-DIMENSIONAL STRUCTURE; TRAINED NEURAL NETWORKS;

PROBABILITY DISTRIBUTIONS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PREDICTION; CONTROLLED STUDY; HYDROPHILICITY; HYDROPHOBICITY; PROBABILITY; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; PROTEIN TERTIARY STRUCTURE;

EID: 70450252107     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-338     Document Type: Article

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