MUPRED: A tool for bridging the gap between template based methods and sequence profile based methods for protein secondary structure prediction

Proteins: Structure, Function and Genetics

Volumn 66, Issue 3, 2007, Pages 664-670

  Bondugula, Rajkumar ^a   Xu, Dong ^a,b  

^a University of Missouri   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

Fuzzy nearest neighbor; Hybrid prediction system; Neural network; Prediction accuracy assessment; Protein secondary structure prediction; Sequence profile; Template

Indexed keywords

ACCURACY; ALGORITHM; AMINO ACID SEQUENCE; COMPUTER PROGRAM; CONFERENCE PAPER; DATA BASE; NERVE CELL NETWORK; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; QUANTITATIVE ANALYSIS; SEQUENCE HOMOLOGY;

ALGORITHMS; AMINO ACID SEQUENCE; MODELS, MOLECULAR; PROTEIN STRUCTURE, SECONDARY; PROTEINS; REPRODUCIBILITY OF RESULTS; TEMPLATES, GENETIC;

EID: 33846249595     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.21177     Document Type: Conference Paper

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