Development of linear and nonlinear predictive QSAR models and their external validation using molecular similarity principle for anti-HIV indolyl aryl sulfones

Journal of Enzyme Inhibition and Medicinal Chemistry

Volumn 23, Issue 6, 2008, Pages 980-995

  Roy, Kunal ^a   Mandal, Asim Sattwa ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Anti HIV 1 activity; Indolyl aryl sulfones; QSAR; Validation

Indexed keywords

RNA DIRECTED DNA POLYMERASE INHIBITOR; SULFONE DERIVATIVE;

ANTIVIRAL ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; CONTROLLED STUDY; DRUG STRUCTURE; EXTERNAL VALIDITY; FACTORIAL ANALYSIS; HUMAN IMMUNODEFICIENCY VIRUS; MATHEMATICAL ANALYSIS; MULTIPLE REGRESSION; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS;

ANTI-HIV AGENTS; INDOLES; LINEAR MODELS; MODELS, BIOLOGICAL; MOLECULAR STRUCTURE; NONLINEAR DYNAMICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REPRODUCIBILITY OF RESULTS; SULFONES;

HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 56449126519     PISSN: 14756366     EISSN: 14756374     Source Type: Journal    
DOI: 10.1080/14756360701811379     Document Type: Article

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