Inferring function using patterns of native disorder in proteins

PLoS Computational Biology

Volumn 3, Issue 8, 2007, Pages 1567-1579

  Lobley, Anna ^a   Swindells, Mark B ^b   Orengo, Christine A ^c   Jones, David T ^a,c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b Inpharmatica   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GENE ONTOLOGY;

COMMON FEATURES; DISORDERED PROTEINS; DISORDERED REGIONS; EUKARYOTICS; GENE ONTOLOGY; HUMAN PROTEINS; HUMAN PROTEOME; ONTOLOGY'S; PATTERN ANALYSIS; PROTEIN FUNCTIONS;

PROTEINS;

GROWTH FACTOR; HELICASE; PHOSPHOTRANSFERASE; PROTEOME; PROTEIN;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; CORRELATION COEFFICIENT; PREDICTION; PROTEIN FUNCTION; PROTEIN PHOSPHORYLATION; QUANTITATIVE ANALYSIS; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; METABOLISM; METHODOLOGY; MOLECULAR GENETICS; PROTEIN DENATURATION; PROTEIN FOLDING; SEQUENCE ANALYSIS; ULTRASTRUCTURE;

EUKARYOTA;

AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MODELS, BIOLOGICAL; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; PROTEIN DENATURATION; PROTEIN FOLDING; PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 34548448958     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0030162     Document Type: Article

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