Purpose. To develop an approach based on computer simulations for the study
of intestinal drug absorption.
Methods. The drug flow in the gastrointestinal tract was simulated with a b
iased random walk model in the heterogeneous tube model (Pharm. Res. 16, 87
-91, 1999), while probability concepts were used to describe the dissolutio
n and absorption processes. An amount of drug was placed into the input end
of the tube and allowed to flow, dissolve and absorb along the tube. Vario
us drugs with a diversity in dissolution and permeability characteristics w
ere considered. The fraction of dose absorbed (F-abs) was monitored as a fu
nction of time measured in Monte Carlo steps (MCS). The absorption number A
n was calculated from the mean intestinal transit time and the absorption r
ate constant adhering to each of the drugs examined.
Results. A correspondence between the probability factor used to simulate d
rug absorption and the conventional absorption rate constant derived from t
he analysis of data was established. For freely soluble drugs, the estimate
s for F-abs derived from simulations using as an intestinal transit time 24
500 MCS (equivalent to 4.5 h) were in accord with the corresponding data ob
tained from literature. For sparingly soluble drugs, a comparison of the no
rmalized concentration profiles in the tube derived from the heterogeneous
tube model and the classical macroscopic mass balance approach enabled the
estimation of the dissolution probability factor for five drugs examined. T
he prediction of F-abs can be accomplished using estimates for the absorpti
on and the dissolution probability factors.
Conclusions. A fully computerized approach which describes the flow, dissol
ution and absorption of drug in the gastrointestinal tract in terms of prob
ability concepts was developed. This approach can be used to predict F-abs
for drugs with various solubility and permeability characteristics provided
that probability factors for dissolution and absorption are available.