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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/18870

Title: Modelling and Computational Prediction of Metabollic Channelling
Authors: Sanford, Christopher
Advisor: Parkinson, John
Department: Molecular and Medical Genetics
Keywords: Metabolic channelling
Issue Date: 15-Feb-2010
Abstract: Metabolic channelling occurs when two enzymes that act on a common substrate pass that intermediate directly from one active site to the next without allowing it to diffuse into the surrounding aqueous medium. In this study, properties of channelling are investigated through the use of computational models and cell simulation tools. The effects of enzyme kinetics and thermodynamics on channelling are explored with the emphasis on validating the hypothesized roles of metabolic channelling in living cells. These simulations identify situations in which channelling can induce acceleration of reaction velocities and reduction in the free concentration of intermediate metabolites. Databases of biological information, including metabolic, thermodynamic, toxicity, inhibitory, gene fusion and physical protein interaction data are used to predict examples of potentially channelled enzyme pairs. The predictions are used both to support the hypothesized evolutionary motivations for channelling, and to propose potential enzyme interactions that may be worthy of future investigation.
URI: http://hdl.handle.net/1807/18870
Appears in Collections:Master
Department of Molecular Genetics - Master theses

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