DocumentCode
266360
Title
Diffusion-controlled enzyme-catalyzed molecular communication system for targeted drug delivery
Author
Chude-Okonkwo, Uche A. K.
Author_Institution
Dept. of Electr., Electron. & Comput. Eng., Univ. of Pretoria, Pretoria, South Africa
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
2826
Lastpage
2831
Abstract
In this paper, the prodrug activation capability of enzymes is used to model and study a molecular communication (MC) system for targeted drug delivery (TDD). Specifically, we string together fundamental ideas from nano-robotics, particle diffusion and enzyme-catalyzed kinetics, to present an MC-based TDD model using a set of ordinary differential equations (ODE). We also derived closed-form analytical expressions for the input and output information of the system, and present their corresponding numerical results. Results show that the ratio of the receiver surface area to the enzyme concentration is important to the system´s performance in terms of the deliverable potent drug concentration at the targeted site.
Keywords
biochemistry; biodiffusion; biomedical communication; catalysis; differential equations; drug delivery systems; enzymes; medical robotics; molecular biophysics; molecular communication (telecommunication); nanomedicine; radio receivers; closed-form analytical expressions; diffusion-controlled enzyme-catalyzed molecular communication system; enzyme concentration; enzyme-catalyzed kinetics; input information; nanorobotics; ordinary differential equations; output information; particle diffusion; prodrug activation capability; receiver surface area; targeted drug delivery; Biochemistry; Biological system modeling; Drugs; Kinetic theory; Mathematical model; Nanobioscience; Receivers; Molecular communication; enzyme-catalyzed reaction kinetics; nanobots; nanomedcine; target drug delivery;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037236
Filename
7037236
Link To Document