Reverse Engineering of Gene Regulatory Networks for Quorum Sensing in the Food Borne Pathogen

Abstract

Reverse engineering is taking apart an object to see how it works in order to duplicate or enhance the object. The practice, taken from older industries, is now frequently used on computer hardware and software. Complex networks of genes, proteins, and small molecules interact to determine cellular function. The reverse engineering or inference of gene regulatory networks using DNA sequence data, protein–DNA binding data, and observed molecular abundance data has become a major interest of the biological community. Modelling gene regulatory networks (GRNs) is one of the most important issues in systems biology research. It uses time series gene profiles to characterize the phenotypic behaviour of a target system, and reverse engineering has been advocated to construct networks in an automated way. In the process of inferring gene networks, many computational models and methods have been proposed. The choices mainly depend on the biological levels to be studied and the computational complexities needed to solve the corresponding problems.