Location of Repository

Lipid Metabolism and Comparative Genomics

By Marcus Tindall, Jonathan Rougier, Laura Pickersgill, John Melrose, Brendan O’Malley and Janette Jones

Abstract

Unilever asked the Study Group to focus on two problems. The first concerned dysregulated lipid metabolism which is a feature of many diseases including metabolic syndrome, obesity and coronary heart disease. The Study Group was asked to develop a model of the kinetics of lipoprotein metabolism between healthy and obese states incorporating the activities of key enzymes. The second concerned the use of comparative genomics in understanding and comparing metabolic networks in bacterium. Comparative genomics is a method to make inferences on the genome of a new organism using information of a previously charaterised organism. The first mathematical question is how one would quantify such a metabolic map in a statistical sense, in particular, where there are different levels of confidence for presense of different parts of the map. The next and most important question is how one can design a measurement strategy to maximise the confidence in the accuracy of the metabolic map

Topics: Food and Drink, Medical and pharmaceutical
Year: 2006
OAI identifier: oai:generic.eprints.org:68/core70

Suggested articles

Preview

Citations

  1. (2000). A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks.
  2. (2003). Analysis of metabolic capabilities using singular value decomposition of extre pathway matrices. doi
  3. (2000). Approximating Integrals via Monte Carlo and Deterministic Methods.
  4. (2001). Bayesian calibration of computer models. doi
  5. (2001). Bayesian forecasting for complex systems using computer simulators. doi
  6. (1996). Computer experiments. doi
  7. (1989). Design and analysis of computer experiments. doi
  8. (2002). Early kinetic abnormalities of apob-containing lipoproteins in insulin-resistant women with abdominal obesity. doi
  9. (2004). Network biology: Understanding the cell’s functional organisation. doi
  10. (1996). On inference for outputs of computationally expensive algorithms with uncertainty on the inputs. In:
  11. (2004). Prediction of future climate using an ensemble of computer simulator evaluations, available at http://www.maths.dur.ac.uk/stats/people/ jcr/EnsemblesA4.pdf.
  12. (2005). Probabilistic formulations for transferring inferences from mathematical models to physical systems. doi
  13. (1996). Reactive search: Toward self-tuning heuristics. In: doi
  14. (2005). Reified Bayesian modelling and inference for physical systems, under review, currently available at http://www.maths.dur.ac.uk/stats/ people/jcr/Reify.pdf.
  15. (1999). Riemann Solvers and Numerical Methods for Fluid Dynamics, 2nd Edition. doi
  16. (1987). Stochastic Simulation. doi
  17. (2003). The Design and Analysis of Computer Experiments. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.