Biological systems are inherently complex and are a result of evolution. Understanding these systems requires us to draw on mathematical modelling, systems dynamics analysis and in silico simulations of agent-based model systems. In this project, we will utilise these approaches to understand the cellular metabolic networks of bacteria and to design them de novo.
Nature has an immense capacity to produce useful metabolites from simple building blocks. Even “simple” single celled organisms can use a handful of basic molecules, available to them in the environment, to make an array of diverse compounds. These are then utilised as energy source, molecular signals or even as toxins. Humans use such compounds in their diet, as medicines or in industrial applications. As such, it is of immediate value to understand the structure and dynamics of metabolic networks responsible for the production of diverse metabolites. Our analysis will combine approaches from graph theory, control theory and evolutionary biology to achieve such an understanding. We will then use the insight to manipulate existing metabolic networks in order to increase yield of specific products, or to design entirely novel networks.
Scholarship Application Deadline: 14 March 2011
