My good colleague at the Luxembourg Centre for Systems Biomedicine, Enrico Glaab, is not only participating in the challenge, but has made it into the final round of the competition, and has a good chance of winning it. If you have a few seconds, please go to the Geoffrey Been Challenge website (link below) and show your support for Enrico Glaab. Just follow the links for "Scientific Community" or "Citizen Scientists" and vote for the project entitled: Male/Female Differences in Aging Brains in a Gene For Ubiquitin-Specific Peptidase 9 (USP9) as a Possible Cause for Increased Incidence of Alzheimer’s Disease in Older Women.
Everyone gets one vote every day until the 5th of November, so it would be great of you to come back and vote again, if you agree that Enrico deserves to win.
A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes
We present an experimental and computational pipeline for the generation of kinetic models of metabolism, and demonstrate its application to glycolysis in Saccharomyces cerevisiae. Starting from an approximate mathematical model, we employ a “cycle of knowledge” strategy, identifying the steps with most control over flux. Kinetic parameters of the individual isoenzymes within these steps are measured experimentally under a standardised set of conditions. Experimental strategies are applied to establish a set of in vivo concentrations for isoenzymes and metabolites. The data are integrated into a mathematical model that is used to predict a new set of metabolite concentrations and reevaluate the control properties of the system. This bottom-up modelling study reveals that control over the metabolic network most directly involved in yeast glycolysis is more widely distributed than previously thought.
A large team of collaborators has published a consensus reconstruction of the human metabolic network:
The accompanying website is at http://humanmetabolism.org and the model in #SBML format is available from BioModels Database as model number MODEL1109130000:
Some press releases are available here:
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The Price Lab at the Institute for Systems Biology
Our research is focused on developing and applying computational tools to study the complex interactions among the many genetic and molecular components that give rise to emergent phenotypes.
Frontiers | Mechanistic modeling of aberrant energy metabolism in human ...
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