Accurate prediction of disorder in protein chains with a comprehensive and empirically designed consensus

Journal of Biomolecular Structure and Dynamics

Volumn 32, Issue 3, 2014, Pages 448-464

  Fan, Xiao ^a   Kurgan, Lukasz ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

consensus; high throughput prediction; Intrinsic disorder; linear regression; meta prediction

Indexed keywords

AMINO ACID SEQUENCE; ANALYTIC METHOD; AREA UNDER THE CURVE; ARTICLE; CONSENSUS SEQUENCE; CORRELATION COEFFICIENT; INTERMETHOD COMPARISON; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROTEIN CHAIN DISORDER PREDICTION; PROTEIN PHOSPHORYLATION; PROTEIN PROCESSING; PROTEIN STRUCTURE; QUALITY CONTROL; RECEIVER OPERATING CHARACTERISTIC; SEQUENCE HOMOLOGY; STATISTICAL SIGNIFICANCE;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; INTRINSICALLY DISORDERED PROTEINS; MODELS, MOLECULAR; PROBABILITY; PROTEIN PROCESSING, POST-TRANSLATIONAL; SHAKER SUPERFAMILY OF POTASSIUM CHANNELS; XERODERMA PIGMENTOSUM GROUP A PROTEIN;

EID: 84893003756     PISSN: 07391102     EISSN: 15380254     Source Type: Journal    
DOI: 10.1080/07391102.2013.775969     Document Type: Article

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