Year: 2010
Type: article
Abstract: The process of gene regulation in Phage Lambda, a virus infecting E Coli, is subject to attention for the development of a biological analogue to a digital inverter.We study in detail a model for a bioinverter based on the reactions given by Weiss.The Phage Lambda virus exhibits two phases, lysogeny and lysis.These two phases can be viewed as two stages of a digital inverter.We consider two models of the behavior of the system, i.e., deterministic and stochastic.The effects of various parameters of both the models are studied.We use statistical analysis to maximize the gain of the bioinverter.We determine that gain is attributed to a minimum number of reaction constants and to the initial concentration of protein species.This simplifies the task of the engineer who wishes to optimize the system for various applications.
Author: Susmit Kumar Ghosh
Institution: University of Cincinnati
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2602289086