Md. Wessel et al., PREDICTION OF HUMAN INTESTINAL-ABSORPTION OF DRUG COMPOUNDS FROM MOLECULAR-STRUCTURE, Journal of chemical information and computer sciences, 38(4), 1998, pp. 726-735
Citations number
173
Categorie Soggetti
Computer Science Interdisciplinary Applications","Computer Science Information Systems","Computer Science Interdisciplinary Applications",Chemistry,"Computer Science Information Systems
The absorption of a drug compound through the human intestinal cell li
ning is an important property for potential drug candidates. Measuring
this property, however, can be costly and time-consuming. The use of
quantitative structure-property relationships (QSPRs) to estimate perc
ent human intestinal absorption (%HIA) is an attractive alternative to
experimental measurements. A data set of 86 drug and drug-like compou
nds with measured values of %HIA taken from the literature was used to
develop and test a QSPR model. The compounds were encoded with calcul
ated molecular structure descriptors. A nonlinear computational neural
network model was developed by using the genetic algorithm with a neu
ral network fitness evaluator. The calculated %HIA (cHIA) model perfor
ms well, with root-mean-square (rms) errors of 9.4%HIA units for the t
raining set, 19.7%HIA units for the cross-validation (CV) set, and 16.
0%HIA units for the external prediction set.