Web page: http://www.sheffield.ac.uk/
Country: United Kingdom
Dept. of Molecular Biology and Biotechnology
Western Bank Sheffield S10 2TN,
The Department of Computer Science
Sheffield, S1 4DP.
I am a research associate in the department of computer science at the University of Sheffield since January 2008. My research is primarily involved with using agent-based modelling techniques and mathematical modelling techniques to model Escherichia coli K-12 Respiratory Adaptation. My research interests also include, development of workflows to analyze Microarray Data.
I am the foundation Professor of Systems Biology and Engineering within the Department of Chemical and Process Engineering (CPE), at The University of Sheffield. My research philosophy is centred on a mechanistic systems biology approach to solve biochemical reaction engineered processes. I wish to pursue issues involved in the effective utilisation of biological resources. The approach is specifically targeted at the conjunction of chemical engineering (metabolic engineering and synthetic biology),
Work in my laboratory is focussed on microbial physiology - the study of how bacteria and other microorganisms work. Although rooted in the tradition of bacterial growth and intermediary metabolism, microbial physiology now embraces molecular biology, genetics, biochemistry, and indeed any discipline that can shed light on bacterial function. Much of our experimental work is conducted with Escherichia coli, the pre-eminent ‘model’ organism with unrivalled ease of genetic and physiological
I am a first year PhD student, working with Professor Robert Poole (University of Sheffield), Professor Jeff Green (University of Sheffield) and Dr Jamie Wood (University of York) using a systems biology approach to study respiration in Escherichia coli.
I am a post-doctoral research associate working in Sheffield in the SUMO consortium. My research focuses on transcriptional regulation in E. coli, with particular emaphasis on the transcriptomic analysis of steady-state chemostat cultures using both microarray and qRT-PCR approaches.
Previous experience, especially that gained during my PhD, involved work on Salmonella physiology and lag phase growth, focusing particularly on gene-expression and transcriptional regulation. Other techniques used
Post-doctoral research associate working in Sheffield in the SUMO consortium.
Professor of Computer Science, University of Sheffield. FBCS, FIMA, CEng, C.Math, CITP.
I have been involved in the use of computational techniques for modelling biological systems since 1980. More recently I have developed a technique of agent-based modelling based on the framework FLAME which is the only such system that can be run on supercomputers. We have made significant new biological discoveries using this approach: The approach models the location and activity of millions of individual
The major theme of the research in my laboratory is bacterial gene regulation. We are interested in signal perception mechanisms (in particular oxygen); signal transduction (ligand induced protein confromational changes); interaction of transcription factors with the core transcription machinery; interactions between transcription factors to integrate multiple signals; and the influence of promoter architectures on these events. We are also interested in aome aspects of post-transcriptional
Within the e:Bio - Innovationswettbewerb Systembiologie (Federal Ministry of Education and Research (BMBF)), the SulfoSYSBIOTECH consortium (10 partners), aim to unravel the complexity and regulation of the carbon metabolic network of the thermoacidophilic archaeon Sulfolobus solfataricus (optimal growth at 80°C and pH 3) in order to provide new catalysts ‘extremozymes’ for utilization in White Biotechnology.
Based on the available S. solfataricus genome scale metabolic model (Ulas et al., 2012)
"Systems Understanding of Microbial Oxygen responses" (SUMO) investigates how Escherichia coli senses oxygen, or the associated changes in oxidation/reduction balance, via the Fnr and ArcA proteins, how these systems interact with other regulatory systems, and how the redox response of an E. coli population is generated from the responses of single cells. There are five sub-projects to determine system properties and behaviour and three sub-projects to employ different and complementary modelling