DocumentCode
680283
Title
Simulation study of the drug release dynamics
Author
Yixiang Shi ; Ajun Wan ; Yifei Shi
Author_Institution
Sch. of Chem. & Chem. Eng., Shanghai Jiaotong Univ., Shanghai, China
fYear
2013
fDate
18-21 Dec. 2013
Firstpage
56
Lastpage
56
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.
Keywords
Boolean functions; biochemistry; differential equations; drugs; medical computing; patient treatment; polynomials; probability; Noyes-Whitney equation; Noyes-Whitney function; differential equation; dosage form; drug effect; drug release characteristics; drug release dynamics; dynamic characteristics; human body; mathematical model; metabolic networks; polynomial fitting; probabilistic Boolean network model; simulation study; solid material; solution; uncertain change; Biological system modeling; Drugs; Educational institutions; Equations; Mathematical model; Probabilistic logic; Roads; Drug release dynamic; Noyes-Whitney function; Probabilistic Boolean Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/BIBM.2013.6732735
Filename
6732735
Link To Document