Metabolic Pathway Analysis 2019
This will be held in Riga, Latvia, 12-16 August. Details are at https://events.lu.lv/MPA2019
Publications from Metabolic Pathway Analysis, Montana 2017
Mini reviews based on material presented at the meeting are now starting to appear in Biochemical Society Transactions.
Understanding the Control of Metabolism
David Fell's 1997 book is now available via ResearchGate.
Huma, Benazir; Kundu, Sudip; Poolman, Mark; Kruger, Nicholas; Fell, David. Stoichiometric analysis of the energetics and metabolic impact of photorespiration in C3 plants. The Plant Journal, DOI
Pfau, Christian, Masakapalli, Poolman, Sweetlove & Ebenhoe. The intertwined metabolism during symbiotic nitrogen fixation elucidated by metabolic modelling. Nature Scientific Reports, https://www.nature.com/articles/s41598-018-30884-x
Zia Fatma, Hassan Hartman, Mark G. Poolman, David A. Fell, Shireesh Srivastava , Tabinda Shakeela and Syed Shams Yazdani. Model-assisted metabolic engineering of Escherichia coli for long chain alkane and alcohol production, Metabolic Engineering, 45, 134-141 (2018). DOI Available here without subscription until 3 April 2018.
Ahmad Ahmad, Hassan B. Hartman , S. Krishnakumar, David A. Fell , Mark G. Poolman , Shireesh Srivastava. A Genome Scale Model of Geobacillus thermoglucosidasius (C56-YS93) reveals its biotechnological potential on rice straw hydrolysate. J. Biotech. 251, 30-37 (2017) DOI (This work was part of the Ricefuel project funded by the BBSRC and the DBT, India).
Pentjuss A., Stalidzans E., Liepins J., Kokina A., Martynova J., Zikmanis P., Mozga I., Scherbaka R., Hartman H., Poolman M. G., Fell D. A., Vigants A. Model based biotechnological potential analysis of Kluyveromyces marxianus central metabolism. J. Industrial Microbiology and Biotechnology, 44, 1177-1190 (2017). DOI
Our group began nearly thirty years ago with initial interests in computer simulation of metabolism and the theoretical analysis of metabolic control and regulation. Whilst these still remain areas of interest, we have since developed interests in modelling signal transduction, in various different approaches to network analysis of metabolism, and in reconstructing metabolic networks from genomic data. In the course of this research, we have addressed problems in microbial, plant and mammalian metabolism, often in conjunction with collaborators who have contributed experimental results.
Our current work centres on modelling the networks of reactions in cells, with particular emphasis on metabolism. It forms part of the emerging field of Systems Biology, in that we are concerned with understanding how biological function arises from the interactions between many components, and with building predictive models. We have to develop and apply suitable theoretical tools, including metabolic control analysis, computer simulation and other forms of algebraic and numerical analysis. In addition, we are investigating how to decipher the metabolic information contained in genome sequences. We are involved in projects on microbial, plant and animal metabolism, each in collaboration with an experimental team.
Potential applications of our work include the design of changes in cellular metabolism to improve the output of product such as antibiotics, detecting vulnerable sites in cellular networks that could be targets for drugs to control disease-causing organisms, and improved understanding of how organisms manage to adjust their metabolism in response to environmental changes and other signals.
We also host the following web sites related to our research: