In-silico prediction of disorder content using hybrid sequence representation

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Mizianty, Marcin J ^a   Zhang, Tuo ^b   Xue, Bin ^b,c   Zhou, Yaoqi ^b   Dunker, A K ^b   Uversky, Vladimir N ^b,c,d   Kurgan, Lukasz ^a,b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b Indiana University   (United States)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

^d INSTITUTE FOR BIOLOGICAL INSTRUMENTATION   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR ACTIVITIES; DISORDER PREDICTIONS; INFORMATION CONCERNING; INTRINSICALLY DISORDERED PROTEINS; PEARSON CORRELATION; PREDICTIVE MODELING; SECONDARY STRUCTURES; SOLVENT ACCESSIBILITY;

CORRELATION METHODS; PROTEINS; REGRESSION ANALYSIS; STATISTICAL TESTS;

FORECASTING;

PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; CELL FUNCTION; CHEMISTRY; HUMAN; METABOLISM; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE;

AMINO ACID SEQUENCE; CELL PHYSIOLOGICAL PHENOMENA; HUMANS; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 79958825533     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-245     Document Type: Article

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