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Disease Prevention, Therapeutics and Diagnostics

Disease Prevention, Therapeutics and Diagnostics is a research theme within the Centre for Sport, Excerise and Life Sciences.

Focus of our research

This is a cross-cutting theme aimed at novel scientific and clinical approaches to support the development of modern-day therapeutics discovery and development, and disease prevention.

We have expertise in areas including; target selection and validation, lead molecule identification and optimisation, computational drug design and disease modelling. This incorporates the work being done by Professor Mark Wheatley, who has an international reputation for his research into the structure and function of G-protein-coupled receptors (GPCRs).

Our interests include SARS-CoV-2, the immune response, metabolic disease, cardiovascular disease, cardioprotective strategies and drug safety.

We develop, test and implement clinical diagnostic, therapeutic and complex behaviour change interventions to improve health and healthcare in the community and NHS settings.

If you wish to find out more about this theme, please get in contact with Professor Chris Reynolds.

Vision statement

Our vision: Improving society by innovative collaborative health-related research.

Mission statement

Our mission: To carry out high quality basic and applied research that underpins disease prevention and new therapies.

Key researchers

Name Title Email
Professor Christopher Reynolds Theme Lead
Professor Richard Aspinall Associate Dean
Dr Elizabeth Bailey Research Fellow Midwife
Eliot Barson ASPiRE Fellow
Dr Bernie Burke Associate Professor
Professor Jane Coad Emeritus Professor
Dr Giuseppe Deganutti Research Fellow
Professor Helen Maddock Executive Director
Dr Hardip Sandhu Assistant Professor
Dr Mark Turner Research Fellow


Researchers in this theme take novel scientific and clinical approaches to supporting the development of modern-day therapeutics discovery and development. 

Find out more about some of our projects:

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Novel human-cell based assay for assessment of cardiovascular liability.

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Addressing GPCR conformational flexibility

Using molecular dynamics (MD) simulations to understand more fully the conformational landscape of GPCRs in the presence of agonist.

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Using novel computational modelling approaches to address biased agonism at the Adenosine A1 receptor

Developing a Markov state model of the ligand binding process and how this leads to activation.

 Queen’s Award for Enterprise Logo
University of the year shortlisted
QS Five Star Rating 2023