A stochastic context free grammar based framework for analysis of protein sequences

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages 323-

  Dyrka, Witold ^a   Nebel, Jean Christophe ^b  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b KINGSTON UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; BINDING SITES; BIOINFORMATICS; FORMAL LANGUAGES; GENETIC ALGORITHMS; LEARNING SYSTEMS; MOLECULAR BIOLOGY; PATTERN RECOGNITION; PROTEINS; STOCHASTIC SYSTEMS;

EXPRESSIVE POWER; FORMAL LANGUAGE THEORY; HOMOLOGOUS PROTEINS; MACHINE LEARNING TECHNIQUES; PROTEIN SEQUENCES; STATE-OF-THE-ART METHODS; STOCHASTIC CONTEXT FREE GRAMMAR; STRUCTURAL CONSTRAINTS;

CONTEXT FREE GRAMMARS;

MAGNESIUM; ZINC FINGER PROTEIN;

ACCURACY; AMINO ACID ANALYSIS; AMINO ACID SEQUENCE; ARTICLE; BINDING SITE; COMPUTER SYSTEM; GENETIC ALGORITHM; HIDDEN MARKOV MODEL; MACHINE LEARNING; MATHEMATICAL ANALYSIS; PROTEIN ANALYSIS; PROTEIN DOMAIN; PROTEIN STRUCTURE; QUANTITATIVE ANALYSIS; SEQUENCE ANALYSIS;

EID: 70449635228     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-323     Document Type: Article

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