A further step toward an optimal ensemble of classifiers for peptide classification, a case study: HIV protease

Protein and Peptide Letters

Volumn 16, Issue 2, 2009, Pages 163-167

  Nanni, Loris ^a   Lumini, Alessandra ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Ensembles of classifiers; HIV 1 protease prediction; Machine learning; Substitution matrices

Indexed keywords

AMINO ACID; PEPTIDE; PROTEINASE; PROTEINASE INHIBITOR;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CHEMISTRY; CLASSIFICATION; DRUG DEVELOPMENT; METHODOLOGY; REPRODUCIBILITY; ROC CURVE;

ALGORITHMS; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; DRUG DISCOVERY; HIV PROTEASE; HIV PROTEASE INHIBITORS; PEPTIDES; REPRODUCIBILITY OF RESULTS; ROC CURVE;

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 63449123534     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986609787316199     Document Type: Article

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