Comparative QSAR based on neural networks for the anti-HIV activity of HEPT derivatives

Current Pharmaceutical Design

Volumn 9, Issue 22, 2003, Pages 1817-1826

  Douali, L ^a   Villemin, D ^b   Cherqaoui, D ^a  

^a FACULTÉ DES SCIENCES SEMLALIA   (Morocco)

^b UNIVERSITÉ DE CAEN   (France)

Author keywords

Anti HIV; HEPT; Neural networks; Non linearity; Structure Activity

Indexed keywords

1 [(2 HYDROXYETHOXY)METHYL] 6 (PHENYLTHIO)THYMINE; 1 [(2 HYDROXYETHOXY)METHYL] 6 (PHENYLTHIO)THYMINE DERIVATIVE; ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT; DIDANOSINE; NUCLEOSIDE DERIVATIVE; RNA DIRECTED DNA POLYMERASE INHIBITOR; STAVUDINE; UNCLASSIFIED DRUG; ZALCITABINE; ZIDOVUDINE;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ANTIVIRAL ACTIVITY; ARTIFICIAL NEURAL NETWORK; BIOCHEMISTRY; COMPUTER MODEL; DRUG POTENCY; HUMAN; IMAGE ANALYSIS; INFORMATION PROCESSING; MULTIPLE REGRESSION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVIEW; STATISTICAL ANALYSIS; VIRUS CULTURE; VIRUS REPLICATION;

EID: 0042490654     PISSN: 13816128     EISSN: None     Source Type: Journal    
DOI: 10.2174/1381612033454423     Document Type: Review

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