Predicting Intrinsic Disorder From Amino Acid Sequence

Proteins: Structure, Function and Genetics

Volumn 53, Issue SUPPL. 6, 2003, Pages 566-572

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

^a TEMPLE UNIVERSITY   (United States)

^b Molecular Kinetics   (United States)

^c WASHINGTON STATE UNIVERSITY   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Intrinsically disordered; Machine learning; Natively unfolded; Neural networks; Ordinary least squares regression

Indexed keywords

AMINO ACID SEQUENCE; CONFERENCE PAPER; DIAGNOSTIC ACCURACY; NERVE CELL NETWORK; PRIORITY JOURNAL; PROTEIN FOLDING;

AMINO ACIDS; COMPUTATIONAL BIOLOGY; PROTEIN CONFORMATION; PROTEINS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 0242267500     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.10532     Document Type: Conference Paper

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