Work

Agent Based Modeling of a Bio-inverter

Year: 2007
Type: article
Abstract: We model the bio-inverter using an agent-based, three-dimensional model of phage lambda, a virus infecting E. coli which exhibits two phases, lysogeny and lysis.The process of gene regulation in phage lambda is a widely studied gene regulatory system and exhibits the characteristics of a digital inverter.We model inverter and its signals as software agents.The Unified Modeling Language (UML) is used to represent system constituents and interactions.Complex system behavior emerges from local agent interactions.Agent based modeling lets us study how individual parameters affect overall system behavior.This bottom-up approach is an alternative to top-down approaches using differential equations and stochastic simulation.We study the various factors that influence the behavior of the bio-inverter and compare our results against those obtained by ODE and stochastic methods.iii
Language: English
Open Access status: green
OpenAlex ID: W2604679072
FWCI: 0.218
Cites: 17
Cited by: 2
Related to: 10