@article{uoadl:2981909,
    volume = "10",
    number = "3",
    pages = "405-414",
    journal = "Molecular Diversity",
    issn = "1381-1991",
    keywords = "1 [(2 hydroxyethoxy)methyl] 6 (phenylthio)thymine;  1 [(2 hydroxyethoxy)methyl] 6 (phenylthio)thymine derivative;  unclassified drug, accuracy;  antiviral activity;  article;  drug structure;  Human immunodeficiency virus;  mathematical model;  multiple linear regression analysis;  prediction;  priority journal;  quantitative structure activity relation;  step wise multiple regression, Anti-HIV Agents;  HIV-1;  HIV-1 Reverse Transcriptase;  Humans;  Linear Models;  Neural Networks (Computer);  Quantitative Structure-Activity Relationship;  Reverse Transcriptase Inhibitors;  Thymine",
    BIBTEX_ENTRY = "article",
    year = "2006",
    author = "Afantitis, A. and Melagraki, G. and Sarimveis, H. and Koutentis, P.A. and Markopoulos, J. and Igglessi-Markopoulou, O.",
    abstract = "A quantitative-structure activity relationship was obtained by applying Multiple Linear Regression Analysis to a series of 80 1-[2-hydroxyethoxy-methyl] -6-(phenylthio) thymine (HEPT) derivatives with significant anti-HIV activity. For the selection of the best among 37 different descriptors, the Elimination Selection Stepwise Regression Method (ES-SWR) was utilized. The resulting QSAR model (RCV2 = 0.8160; SPRESS = 0.5680) proved to be very accurate both in training and predictive stages. © Springer 2006.",
    title = "A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis",
    doi = "10.1007/S11030-005-9012-2"
}