Study of the structure and dynamics of complex biological networks

TL;DR

This thesis investigates the structure and dynamics of large-scale biological networks in various organisms, revealing insights into their robustness, fragility, modularity, and interrelations using graph theory and computational methods.

Contribution

It provides a comprehensive analysis of biological network dynamics and structure, offering new perspectives on their functioning and interconnections.

Findings

Insights into robustness and fragility of networks

Understanding of network modularity and interrelations

System-level dynamical properties explained by network structure

Abstract

In this thesis, we have studied the large scale structure and system level dynamics of certain biological networks using tools from graph theory, computational biology and dynamical systems. We study the structure and dynamics of large scale metabolic networks inside three organisms, Escherichia coli, Saccharomyces cerevisiae and Staphylococcus aureus. We also study the dynamics of the large scale genetic network controlling E. coli metabolism. We have tried to explain the observed system level dynamical properties of these networks in terms of their underlying structure. Our studies of the system level dynamics of these large scale biological networks provide a different perspective on their functioning compared to that obtained from purely structural studies. Our study also leads to some new insights on features such as robustness, fragility and modularity of these large scale biological networks. We also shed light on how different networks inside the cell such as metabolic networks and genetic networks are interrelated to each other.