Characterization of the dark metabolome of eukaryotic cells. The project aims to investigate the full metabolic potential of a group of eukaryotic organisms using advanced analytical and computational techniques. It will identify novel metabolites and enzyme activities that are currently not predicted from genome annotations. Expected outcomes of the project include the delineation of new metabolic processes that are common to all eukaryotes, the characterization of new enzymes families, and the ....Characterization of the dark metabolome of eukaryotic cells. The project aims to investigate the full metabolic potential of a group of eukaryotic organisms using advanced analytical and computational techniques. It will identify novel metabolites and enzyme activities that are currently not predicted from genome annotations. Expected outcomes of the project include the delineation of new metabolic processes that are common to all eukaryotes, the characterization of new enzymes families, and the generation of comprehensive metabolic databases. An improved understanding of cellular metabolism will provide direct benefits in biotechnology, food production, environmental monitoring and the diagnosis and treatment of human metabolic and infectious diseases. Read moreRead less
New methods for integrating population structure and stochasticity into models of disease dynamics. Epidemics, such as the 2007 equine 'flu outbreak and 2009 swine 'flu pandemic, highlight the need to make informed decisive responses. This project will develop new methods that incorporate two important aspects of disease dynamics---host structure and chance---into mathematical models, and determine their impact in terms of controlling infections.