Improving protein secondary structure prediction based on short subsequences with local structure similarity

BMC Genomics

Volumn 11, Issue SUPPL. 4, 2010, Pages

  Lin, Hsin Nan ^a,b,c   Sung, Ting Yi ^b   Ho, Shinn Ying ^c   Hsu, Wen Lian ^b  

^a ACADEMIA SINICA   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; AUTOMATION; CORRELATION COEFFICIENT; INFORMATION PROCESSING; MACHINE LEARNING; MOLECULAR EVOLUTION; NATURAL LANGUAGE PROCESSING; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN SECONDARY STRUCTURE; RNA TRANSLATION; SAMPLE SIZE; SEQUENCE ALIGNMENT; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; EVALUATION; GENETICS; METHODOLOGY; NUCLEOTIDE SEQUENCE; PREDICTIVE VALUE; REPRODUCIBILITY; SEQUENCE ANALYSIS; SEQUENCE HOMOLOGY;

AMINO ACID; PROTEIN;

AMINO ACIDS; COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; DATABASES, PROTEIN; EVOLUTION, MOLECULAR; MODELS, MOLECULAR; PREDICTIVE VALUE OF TESTS; PROTEIN STRUCTURE, SECONDARY; PROTEINS; REPRODUCIBILITY OF RESULTS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; SEQUENCE HOMOLOGY, AMINO ACID;

DATA SETS; LOCAL SEQUENCES; LOCAL SIMILARITY; LOCAL STRUCTURE; NATURAL LANGUAGE PROCESSING; PREDICTION ACCURACY; PREDICTION METHODS; PROTEIN CHAINS; PROTEIN SECONDARY STRUCTURE; PROTEIN SECONDARY-STRUCTURE PREDICTION; PROTEIN SEQUENCES; PROTEIN STRUCTURES; REGULAR STRUCTURE; SECONDARY STRUCTURE PREDICTION; SEQUENCE ALIGNMENTS; SEQUENCE VARIATIONS; STRUCTURAL TOPOLOGIES; TEST SETS;

AMINO ACIDS; FORECASTING; NATURAL LANGUAGE PROCESSING SYSTEMS; PROTEINS;

BIOINFORMATICS;

EID: 78649774404     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-11-S4-S4     Document Type: Article

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