A computational Framework for Metabolism
The Unilever Centre for Molecular Sciences Informatics in Cambridge is teaming up with Unilever to begin a major initiative in the study of metabolism. Using computational and experimental data we wish to build the necessary algorithms and software to predict the fate of food ingredients, functionally active molecules and their metabolites. It is expected that over the course of this project new tools for data analysis will reveal underlying principles of metabolism, provide predictive methods and identify opportunities to improve well being through improved nutrition.
The work will be performed in the Unilever Centre under the direction of Professor Robert Glen.
In the first phase of this project we are creating a group of three post-doctoral scientists and four PhD students.
PDM1. Structural modelling, lignd affinity and dynamics of cytochrome p450 enzyms. Mark Williamson
PDM2. Modelling and transport of food ingrediets. David Markus
PDM3. Predicting the sites and products of metabolism - Dr. Johannes Kirchmair
PDM4. Metabolic databases and networks. Dr. Lora Mak.
PHD1. Analysis and prediction of Cytochrome p450 metabolism. John Tyzak
PhD2. Estimating the physicochemical properties of metabolites - Daniel Murrell
PhD3. Receptor activation and bioactivity of metabolites - Alexios Koutsoukas
PhD4. Chemical mechanisms of metabolising enzymes
PhD5. Epigenetics of Metabolism. (collaboration with Dr. Jules Griffin).
The projects started in October 2010, and will include additional projects from other sponsors.
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