Title of article
Multivariate adaptive regression splines—studies of HIV reverse transcriptase inhibitors
Author/Authors
Xu، نويسنده , , Q.-S. and Daszykowski، نويسنده , , M. and Walczak، نويسنده , , B. and Daeyaert، نويسنده , , F. and de Jonge، نويسنده , , M.R. and Heeres، نويسنده , , J. and Koymans، نويسنده , , L.M.H. and Lewi، نويسنده , , P.J. and Vinkers، نويسنده , , H.M. and Janssen، نويسنده , , P.A. and Massart، نويسنده , , D.L.، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2004
Pages
8
From page
27
To page
34
Abstract
In this article, the application of Multivariate Adaptive Regression Splines (MARS) for modelling the biological activity of Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) is described. The studied data consist of the biological activities of 208 NNRTIs evaluated against wild-type HIV virus (HIV-1) and four mutant strains (181C, 103N, 100I, 188L), and the computed interaction energies with the amino acids forming the NNRTI binding pocket. The NNRTIs belong to five different chemical classes of compounds, known as HEPT-like, TIBO, DATA, DAPY and ITU compounds. The MARS model obtained for the biological activity of NNRTIs yields acceptable prediction errors for this data set.
Keywords
Nonlinear modelling , biological activity , Mars , HIV virus
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2004
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1461193
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