Computational Biology Group
The Computational Biology Group, led by Professor David Gavaghan, is an interdisciplinary group based within the Department of Computer Science. The group engages in theoretical and applied, interdisciplinary and practise-based research at the interface between computer science and the biomedical sciences, focussing on applying computer science and mathematical techniques to clinically and biologically pressing problems. Key applications include physiological modelling (heart, cardiovascular and cardiorespiratory systems, soft tissue mechanics and cancer), biological image and signal analysis, and systems biology. Work is almost entirely done jointly with domain specialists in life sciences and clinical departments. The Computational Biology Group also plays a key role in interdisciplinary initiatives across the University, including the Life Sciences Interface and Systems Biology DTCs which are led by Professor Gavaghan and the BBSRC/EPSRC-funded Centre for Integrative Systems Biology.
Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models? (accepted‚ in press)
RH Johnstone‚ ET Chang‚ R Bardenet‚ TP de Boer‚ DJ Gavaghan‚ P Pathmanathan‚ RH Clayton and GR Mirams
In Journal of Molecular and Cellular Cardiology. 2015.
Ca2+ Channel Re−localization to Plasma−Membrane Microdomains Strengthens Activation of Ca2+−Dependent Nuclear Gene Expression
Krishna Samanta‚ Pulak Kar‚ Gary R. Mirams and Anant B. Parekh
In Cell Reports. Vol. 12. No. 2. Pages 203−216. 2015.
Hydroxychloroquine reduces heart rate by modulating the hyperpolarisation activated current ‘If’: Novel electrophysiological insights and therapeutic potential
R.A. Capel‚ N Herring‚ M Kalla‚ A Yavari‚ G.R. Mirams‚ G. Douglas‚ G. Bub‚ K. Channon‚ D.J. Paterson‚ D. Terrar and R−A Burton
In Heart Rhythm. Vol. 12. No. 10. Pages 2186–2194. 2015.