Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Pollastri, Gianluca ^a   Martin, Alberto J M ^a   Mooney, Catherine ^a   Vullo, Alessandro ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN SECONDARY STRUCTURE; SECONDARY STRUCTURE PREDICTION; SECONDARY STRUCTURES; SOLVENT ACCESSIBILITY; STRUCTURAL FREQUENCIES; STRUCTURAL INFORMATION; STRUCTURE INFORMATION; THREE-DIMENSIONAL STRUCTURE;

FORECASTING; LEARNING SYSTEMS; PROTEINS; SOLVENTS;

STRUCTURAL PROPERTIES;

AB INITIO CALCULATION; ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BIOINFORMATICS; CONSENSUS SEQUENCE; CONTROLLED STUDY; DATA EXTRACTION; HIGH THROUGHPUT SCREENING; INTERMETHOD COMPARISON; MACHINE LEARNING; PREDICTION; PROTEIN DATA BANK; PROTEIN SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY; TOTAL QUALITY MANAGEMENT; ARTIFICIAL INTELLIGENCE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; EVALUATION; METHODOLOGY; MOLECULAR GENETICS; SEQUENCE ANALYSIS; ULTRASTRUCTURE;

PROTEIN; SOLVENT;

AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; CONSENSUS SEQUENCE; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOLVENTS;

EID: 34547127137     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-201     Document Type: Article

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