Exploiting heterogeneous sequence properties improves prediction of protein disorder

Proteins: Structure, Function and Genetics

Volumn 61, Issue SUPPL. 7, 2005, Pages 176-182

  Obradovic, Zoran ^a   Peng, Kang ^a   Vucetic, Slobodan ^a   Radivojac, Predrag ^b,c   Dunker, A Keith ^c  

^a TEMPLE UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Disorder prediction; Intrinsically disordered; Length dependent predictors

Indexed keywords

PROTEIN;

ACCURACY; CASP6 SYSTEM; COMPUTER PREDICTION; COMPUTER SYSTEM; CONFERENCE PAPER; NONHUMAN; PRIORITY JOURNAL; PROTEIN DEFECT; PROTEIN FOLDING; PROTEIN STRUCTURE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; COMPUTERS; DATABASES, PROTEIN; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; PROTEOMICS; REPRODUCIBILITY OF RESULTS; ROC CURVE; SEQUENCE ALIGNMENT; SOFTWARE;

EID: 30344485673     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.20735     Document Type: Conference Paper

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