Prediction of gastro-intestinal absorption using multivariate adaptive regression splines

Deconinck, E., Xu, Q.S., Put, R., Coomans, D., Massart, D.L., and Vander Heyden, Y. (2005) Prediction of gastro-intestinal absorption using multivariate adaptive regression splines. Journal of Pharmaceutical and Biomedical Analysis, 39 (5). pp. 1021-1030.

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Abstract

Multivariate adaptive regression splines (MARS) and a derived method two-step MARS (TMARS) were used for modelling the gastro-intestinal absorption of 140 drug-like molecules. The published absorption values for these molecules were used as response variable and calculated molecular descriptors as potential explanatory variables. Both methods were compared and their potential use in quantitative structure–activity relationship (QSAR) context evaluated.

The predictive abilities of the models were studied using different sequences of Monte Carlo cross validation (MCCV). It was shown that both types of models had good predictive abilities and that for the data used, MARS gave better results than TMARS. It could be concluded that both methods could be valuable for QSAR modelling.

Item ID: 4549
Item Type: Article (Refereed Research - C1)
Keywords: gastro-intestinal absorption; multivariate statistics; QSAR; drug absorption; in silico prediction; MARS; TMARS
ISSN: 1873-264X
Date Deposited: 18 Sep 2009 02:25
FoR Codes: 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 50%
03 CHEMICAL SCIENCES > 0301 Analytical Chemistry > 030106 Quality Assurance, Chemometrics, Traceability and Metrological Chemistry @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970101 Expanding Knowledge in the Mathematical Sciences @ 100%
Citation Count from Web of Science Web of Science 26
Downloads: Total: 1
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