A Fuzzy Neartude Based Approach to Simulate the Two-Compartment Pharmacokinetic Model

摘要

The estimation of parameters of compartmental models is very important in pharmacokinetic (PK) modeling which is sometimes rather hard. One of the suitable ways is to represent the parameters as fuzzy sets. Using the fuzzy neartude as an efficient tool the influence of each of the four parameters i.e. oral bioavailability, absorb rate constant, the central volume of distribution and the clearance on the concentration time profile was simulated. The simulation results demonstrate that fuzzy neartude-based approach is a useful tool to predict the plasma drug concentration during the early stage of drug discovery when the information for some parameters is limited, vague and semi-quantitative.