About the Project
A suitable prototype case for using FFLUX in enzyme engineering are terpenoids. They are the most abundant and largest class (>75,000) of natural products. Most are commonly found in plants, with biological roles ranging from interspecies communication to intracellular signalling and defence against predatory species. Their commercial use is wide ranging as pharmaceuticals, herbicides, flavourings, fragrances and biofuels. Molecular dynamics simulations suggest that the monoterpene synthase class of enzymes do not undergo large-scale conformational changes during the reaction cycle (after initial substrate binding), making them attractive targets for structured-based protein engineering to expand their catalytic scope toward alternative monoterpene scaffolds. This very important class of compounds has been thoroughly studied in the MIB, enriching interaction with experimentalists.
The aim is creating a step change in the realism of modelling an enzyme’s active site. A rigorous yet accessible quantum mechanical description of a reaction is vital for ultimate progress. Only with detailed atomic insight into the mechanism of an enzymatic reaction, using FFLUX-for-enzymes, can one correctly rationalise the design of future enzymes.
Contact for further Information
Prof Popelier, firstname.lastname@example.org
Academic background of candidates
Candidates are expected to hold (or be about to obtain) a first class honours degree (or the overseas equivalent) in chemistry or physics. Candidates with experience in machine learning or with an interest in quantum chemistry are encouraged to apply.
 P. L. A. Popelier, in The Chemical Bond - 100 years old and getting stronger, ed. M. Mingos, Springer, Switzerland, 2016, pp. 71-117.
 V. Karuppiah et al., ACS Catal. , 2017, 7, 6268−6282.
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