Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


ucin1231358178.pdf (1.72 MB)

ETD Abstract Container

Abstract Header

3D Agent Based Model of Cell Growth

Rajendran, Balakumar
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1231358178

Abstract Details

2009, MS, University of Cincinnati, Engineering : Computer Engineering.
This research aims at modeling the cell cycle regulation as a three dimensional Agent Based Model. Agent Based Modeling (ABM) is a computational model for simulating autonomous entities in a network. ABM is emerging as a powerful tool in the field of systems biology. ABM is preferred over traditional modeling methods, as it takes the spatial dynamics of the interactions into account. The system is modeled as a collection of autonomous decision making entities called agents. Each of these agents has its own set of characteristics and behavioral rules that are highly adaptive to its surrounding environment. Since the agents have their own sets of characteristics and rules, they can be implemented using the Object Oriented Programming (OOP) concept. OOP is a powerful programming technique that can be used to model and design applications effectively. Previously our lab implemented an ABM model of the phage lambda virus and used this model to study the behavior of phage lambda under various conditions. Building on our experience, we have developed a more complex agent based model in a Java based ABM platform. The cell cycle model is modeled in MASON, a very robust and efficient ABM platform that supports strong 3D visualization and parallelization. The model shows how the cells interact among each other at an intercellular level. The stages in the cell cycle are implemented and the characteristics of cell growth are studied. This particular model has also been extended to simulate a wound condition and its growth characteristics are again observed. The model is run for certain base parameter values and the system can be simulated for other conditions by changing these parameters. Tissue Engineering is an important and growing field, and computational models such as the one developed in this thesis can be very useful tools for biologists and tissue engineers.
Carla Purdy, PhD (Committee Chair)
Daria Narmoneva, PhD (Committee Member)
Ali Minai, PhD (Committee Member)
91 p.
Biology; Cellular Biology; Computer Science; Engineering
Agent based modeling; cell growth; three dimensional

Recommended Citations

Citations

  • Rajendran, B. (2009). 3D Agent Based Model of Cell Growth [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1231358178

    APA Style (7th edition)

  • Rajendran, Balakumar. 3D Agent Based Model of Cell Growth. 2009. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1231358178.

    MLA Style (8th edition)

  • Rajendran, Balakumar. "3D Agent Based Model of Cell Growth." Master's thesis, University of Cincinnati, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1231358178

    Chicago Manual of Style (17th edition)

ucin1231358178
597
© 2008, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.