From local structure to a global framework: Recognition of protein folds

Journal of the Royal Society Interface

Volumn 11, Issue 95, 2014, Pages

  Joseph, Agnel Praveen ^a,b,c,d   De Brevern, Alexandre G ^c,d,e,f  

^a RUTHERFORD APPLETON LABORATORY   (United Kingdom)

^b TATA INSTITUTE OF FUNDAMENTAL RESEARCH   (India)

^c INSERM   (France)

^d hôpital Robert Debré et Institut national de la transfusion sanguine   (France)

^e INSTITUT NATIONAL DE LA TRANSFUSION SANGUINE   (France)

^f Laboratoire d'Excellence GR Ex   (France)

Author keywords

Bioinformatics; Local structure prediction; Protein fold recognition; Sequence annotation; Structural alphabets; Threading

Indexed keywords

AMINO ACIDS; BIOINFORMATICS; FORECASTING;

LOCAL STRUCTURE; PROTEIN FOLD RECOGNITION; SEQUENCE ANNOTATION; STRUCTURAL ALPHABET; THREADING;

PROTEIN FOLDING;

AMINO ACID SEQUENCE; AMINO ACID SUBSTITUTION; ARTIFICIAL NEURAL NETWORK; HIDDEN MARKOV MODEL; HUMAN; MOLECULAR RECOGNITION; MONTE CARLO METHOD; POSITION WEIGHT MATRIX; PROTEIN ANALYSIS; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; REVIEW; SUPPORT VECTOR MACHINE; CHEMISTRY; METABOLISM;

PROTEIN;

PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS;

EID: 84901395967     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2013.1147     Document Type: Review

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