Faculty of Engineering

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Christof Jaeger

Assistant Professor, Faculty of Engineering



Following my undergraduate studies of Molecular Science I received my PhD in Computational Chemistry from the University of Erlangen-Nuernberg, Germany in 2010. I then worked as a Postdoc for the Cluster of Excellence Engineering Advanced Materials (EAM) until 2014, when I joined the Biorenewables and Bioprocessing Research Group in in the Faculty of Engineering of the University of Nottingham.

My research experience includes Molecular Dynamics simulations, semi-empirical Molecular Orbital Theory, DFT and ab initio methods and force field development. Past projects involved multi-disciplinary research in the areas of bio-organic, colloid, and radical chemistry, molecular self-assembly, ion effects, and molecular electronics in organic electronic devices.

In Nottingham my research focuses on the development and application of efficient computational approaches for their use in enzyme driven biotechnology in order to discover sustainable routes for manufacturing fine chemicals and novel antibiotic drugs

Dr Christof Jaeger is part of the Bioprocess, Environmental and Chemical Technologies Research Group.

Research Summary

I develop computational strategies to promote enzymes for biotechnological applications in order to contribute to the urgent need for new enzymes and advances in biotechnology. In particular I am… read more

Recent Publications

Find me online: Personal homepage

My ORCID profile : http://orcid.org/0000-0002-1802-1892

Add me to your Researchgate network Add me to your Researchgate network: https://www.researchgate.net/profile/Christof_Jaeger

Follow me on twitter: https://twitter.com/ChristofJaeger

My Publons profile as reviewer http://publons.com/a/1216630/

find additional research related data on figshare: https://figshare.com/authors/Christof_Jaeger/3340812

Talks and invited lectures:

15/09/2017 5th Annual CCP-BioSim Conference, Southampton, UK.

05/09/2017 European Symposium on Organic Reactivity (ESOR), Durham, UK.

20/08/2017 254th Annual National Meeting of the American Chemical Society (ACS), Washington, D.C., US.

18/08/2017 Montana State University, Bozeman, Montana, US.

16/08/2017 University of Salt Lake City, Utah, US.

03/07/2017 2nd International Conference on Hydrogen Atom Transfer (iCHAT 2017), Rome, Italy.

28/06/2017 Ruđer Bošković Institute, Zagreb, Croatia.

28/03/2017 31st Molecular Modelling Workshop 2017, Erlangen, Germany.

30/08/2016 Mipomat Workshop Innovative Surfaces and Materials, Primosten, Croatia.

05/07/2016 IUPAC Conference on Physical Organic Chemistry 23 (ICPOC), Sydney, Australia.

21/06/2016 RSC Computational Chemistry Group Conference, Nottingham, UK.

Current Research

I develop computational strategies to promote enzymes for biotechnological applications in order to contribute to the urgent need for new enzymes and advances in biotechnology. In particular I am working on so called "radical enzymes", which harness free radical chemistry in their catalysis for the synthesis of a very broad spectrum of valuable chemicals.

The need for improved biotechnology is based on the fact that our modern world, lifestyle and health, with all their benefits, are strongly dependent on fossil resources. This includes the manufacture of plastics, medicinal devices, cosmetics, medicines (including antibiotics), and a wide set of fine chemicals.

Bearing in mind that petroleum is a vanishing resource it becomes clear that we need new, sustainable routes for the manufacture of chemicals in order to mitigate against emerging problems of both oil supply security and environmental change.

Biotechnological processes using "radical enzymes" offer opportunities to combine sustainable chemistry approaches with the high potential of free radicals - chemical intermediates which are difficult to control in industrial processes, but which nature has been able to harness to produce valuable materials, including antibiotics, anticancer, and antiviral drugs.

I aim to deliver a novel strategy for efficient and transferable computational modelling of radical enzymes to disclose structural dynamic features and variations and the functional catalytic mechanisms of the enzymes. This information will then be transferred into propositions for possible mutations to deliver enzyme variations with the goal to reach a broader substrate range, new chemical products and/or higher efficiencies, finally to be adopted into industrial biotechnological synthesis routes

Faculty of Engineering

The University of Nottingham
University Park
Nottingham, NG7 2RD

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