Fell, David - Oxford Brookes University - Department of Biological and Medical Sciences

个人简介

After studying biochemistry at Oxford University, followed by a DPhil on the physical biochemistry of yeast pyruvate kinase, David started lecturing at Oxford Polytechnic. His research gradually moved from experimental biochemistry into computer simulation and theoretical analysis of metabolic control, and he has written the only textbook on metabolic control analysis, Understanding the Control of Metabolism. In 2001, he helped to found and became part-time Chief Scientific Officer of the Oxford company, Physiomics plc, which is using computer simulation of cellular systems for the development and analysis of therapeutic strategies for the pharmaceutical industry. Physiomics has firmly established itself as a leading light in systems biology approaches to drug discovery and latterly in therapy design, demonstrable through contracts with three major international pharmaceutical companies. Through its strong advocacy of this approach the sector has invested in and adopted new computational biology processes. As Physiomics has continued to grow, it has expanded its own specialist research team, in many cases recruiting scientists trained within Fell’s Brookes-based research group at Brookes. David is chairman of the Policy Committee of the Biochemical Society, and has been a member of several panels and committees of the Biotechnology and Biological Sciences Research Council.

研究领域

David’s group formed nearly thirty years ago with initial interests in computer simulation of metabolism and the theory of metabolic control. To these it has since added 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, he has addressed problems in microbial, plant and mammalian metabolism, often in conjunction with collaborators who have contributed experimental results. His work 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. 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.

近期论文

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Mark G. Poolman, Sudip Kundu, Rahul Shaw and David A Fell. Responses to Light Intensity in a Genome–Scale Model of Rice Metabolism. Plant Physiology 2013, DOI: 10.1104/pp.113.216762 Agris Pentjuss, Ilona Odzina, Andrejs Kostromins, David A Fell, Egils Stalidzans, and Uldis Kalnenieks. Biotechnological potential of respiring Zymomonas mobilis: A stoichiometric analysis of its central metabolism. J. Biotechnology, 165:1-10, 2013 C. Y. Maurice Cheung, Thomas C. R. Williams, Mark G. Poolman, David. A. Fell, R. George Ratcliffe, Lee J. Sweetlove, A method for accounting for maintenance costs in flux balance analysis improves the prediction of plant cell metabolic phenotypes under stress conditions, The Plant Journal 75 (6) 1050, 2013, DOI: 10.1111/tpj.12252 Reinis Rutkis, Uldis Kalnenieks, Egils Stalidzans and David A. Fell Kinetic modeling of Zymomonas mobilis Entner-Doudoroff pathway: insights into control and functionality Microbiology, 2013, DOI: 10.1099/mic.0.071340-0 Thomas C R Williams, Mark G Poolman, Andrew J M Howden, Markus Schwarzlander, David A Fell, R. George Ratcliffe, and Lee J Sweetlove. A genome-scale metabolic model accurately predicts fluxes in central carbon metabolism under stress conditions. Plant Physiol, 154(1):311-323, 2010 L. F. de Figueiredo, S. Schuster, C. Kaleta, and D. A. Fell. Can Sugars be Produced from Fatty Acids? A Test Case for Pathway Analysis Tools. Bioinformatics, 25(1):15-158, 2009 Mark G Poolman, Laurent Miguet, Lee J Sweetlove, and David A Fell. A Genome-Scale Metabolic Model of Arabidopsis and Some of its Properties. Plant Physiol, 151(3):1570-1581, 2009