A neural network approach to evaluate fold recognition results

Proteins: Structure, Function and Genetics

Volumn 50, Issue 4, 2003, Pages 600-608

  Juan, D ^a   Grana O ^a   Pazos, F ^a,c   Fariselli, P ^b   Casadio, R ^b   Valencia, A ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b UNIVERSITY OF BOLOGNA   (Italy)

^c ALMA Bioinformatica   (Spain)

Author keywords

Back propagation; LIBELLULA; Protein structure prediction; Public web server; Threading

Indexed keywords

AMINO ACID SEQUENCE; ARTICLE; AUTOMATION; CALCULATION; CHEMICAL ANALYSIS; COMPUTER MODEL; COMPUTER SYSTEM; EVALUATION; NERVE CELL NETWORK; PREDICTION; PRIORITY JOURNAL; PROTEIN FOLDING; PROTEIN STRUCTURE; STATISTICAL ANALYSIS; TECHNIQUE; TRAINING; VALIDATION PROCESS;

INTERNET; NEURAL NETWORKS (COMPUTER); PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; STRUCTURAL HOMOLOGY, PROTEIN;

EID: 0037342909     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.10322     Document Type: Article

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