Frank Bruggeman

From the Manchester Bio-Modelling Network

Name

Frank J Bruggeman

Email

frans.bruggeman@manchester.ac.uk

Position

Lecturer in the Systems Biology Group (Prof Westerhoff) in CEAS

Affiliation

MIB, The University of Manchester (MIB room 2.024; tel ext 65178)

Research Interests

I was trained as an experimental biologist before I focused more on theoretical methods for describing biological systems. I am familiar with most of the methods that are currently used in the laboratory; not that I have hands-on experience in all cases but that I know in principle how they work and what they are useful for. I try to keep up with the development of new experimental technologies.

My interests in Systems Biology are both biological and theoretical.

All theory applicable to the analysis of living cells have in principle my interest. Those include:

1. kinetic model simulation by use of and theory development for:
   1. stochastic phenomena (master equations, linear noise approximation) describing stochastic (spatio-) temporal phenomena,
   2. partial and ordinary differential equations describing (spatio-) temporal biological phenomena,
2. metabolic control analysis and engineering control theory,
3. reverse engineering of networks (to obtain the network structure from experimental data),
4. flux analysis.

The biological systems I have worked on are:

1. MAPK signalling in eukarytic cells,
2. central metabolism and ammonium assimilation E. coli,
3. transcription and translation in E. coli,
4. two-component signalling in E. coli.

I have a broad interest in biological phenomena generated by networks. I would like to work more on regulation of networks in eukaryotic cells, ecosystems, parameter estimation, and bioinformatic approaches to study regulation of cellular systems. I have a continuing interest in the development of metabolic control analysis with an emphasis on robustness, modularity, and optimal control.

Website

http://www.mcisb.org/people/simeonidis/