2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Abstract

The study of Drug release dynamic, is aiming at understanding the process that drugs release in human body and its dynamic characteristics. It is of great significance since these characteristics are closely related to the dose, dosage form and effect of the drugs. The Probabilistic Boolean Networks, which is intended to handle the metabolic networks of biology, is suitable for uncertain change in networks. Noyes-Whitney function is used to represent how the solid material is dissolved into solution, and it is well-used in study of drug dynamic. In this research, three different mathematical models are tested, which are probabilistic Boolean network model, polynomial fitting and differential equation based on Noyes-Whitney equation. The results show that Noyes-Whitney equation can be successfully used to interpret the drug release characteristics reflected by our experiment data.
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