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About Dr Mark Mc Auley

I completed my undergraduate degree in biochemical sciences at the University of Ulster in 2000 and a Master’s degree in computing at the same institute in 2001. I was then employed as a Research Assistant in Nutritional Biochemistry for the Northern Ireland centre for Diet and Health at the University of Ulster, before being awarded a doctoral scholarship in 2003 by Unilever PLC and the Medical School, Newcastle University. I completed my PhD entitled Systems Modelling of Human Ageing under the tutelage of Professor Tom Kirkwood, CBE, an internationally acclaimed ageing researcher and Professor Darren Wilkinson an internationally renowned researcher in statistics.

My undergraduate teaching centres on applied biochemistry, biotechnology, molecular biology and bioinformatics. My undergraduate research projects give students the opportunity to explore these areas in greater depth.


SE4008 Biotechnology and Applied Biochemistry
SE5015 Biotechnology and Bioinformatics for Disease and Nutrition
SE7014 Pharmaceuticals and Food Technology


Mark uses computational modelling to help improve our understanding of complex biochemical pathways. His research centres primarily on the ageing process. Specifically he focuses on building computational models of cholesterol metabolism and folate metabolism. The models are used to examine the impact ageing has on their regulation and how diet can be used to alleviate the health issues associated with their age associated dysregulation.

Published Work

  1. Mc Auley M.T, & Mooney, KM (2019)-in press. Computational Modelling for Nutritionists. Springer Nature. Book
  2. Morgan J, Smith M, Mc Auley M.T, Salcedo-Sora JE. (2018). Disrupting Folate Metabolism alters the capacity of Bacteria in Exponential Growth to develop Persisters to Antibiotics. Microbiology- in press.
  3. Morgan, A. Davies, T.; Mc Auley, M.T. (2018).The role of DNA methylation in ageing and cancer. Proceedings of the Nutrition Society, 1-11.
  4. Mc Auley M, Mooney, K. (2018) Using Computational Models to study Aging. In Conn's handbook of models for human aging (second edition), pp 79-91.
  5. Mc Auley M.T., Morgan A, Mooney K.M. (2017). The Role of Mathematical Modelling in Understanding Ageing. Book Chapter in Ageing a Complex Phenomenon. (pp. 637-652): CRC Press, Taylor and Francis Group.
  6. Mc Auley, M. T., & Mooney, K. M. (2017). LDL-C levels in older people: Cholesterol Homeostasis and the Free Radical Theory of Ageing Converge. Medical Hypotheses, 104,15-19
  7. Mc Auley, M. T., Guimera, A. M., Hodgson, D., Mcdonald, N., Mooney, K. M., Morgan, A. E., & Proctor, C. J. (2017). Modelling the molecular mechanisms of aging. Bioscience reports, 37(1), BSR20160177.
  8. Mc Auley, M. T., Mooney, K. M., & Salcedo-Sora, J. E. (2016). Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing. Briefings in bioinformatics, bbw116.
  9. Josephine Kilner, B. M. C., Mark T. Mc Auley, Stephen J. Wilkinson. (2016). A deterministic oscillatory model of microtubule growth and shrinkage for differential actions of short chain fatty acids. Mol Biosyst, 12, 93-101.
  10. Mooney, K. M., Morgan, A. E., & Mc Auley, M. T. (2016). Aging and computational systems biology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 8(2), 123-139.
  11. Morgan, A., Mooney, K., & Mc Auley, M. (2016). Obesity and the dysregulation of fatty acid metabolism: implications for healthy aging. Expert Review of Endocrinology & Metabolism, 11(6), 501-510.
  12. Morgan, A., Mooney, K. M., Wilkinson, S. J., Pickles, N., & Mc Auley, M. T. (2016). Cholesterol metabolism: A review of how ageing disrupts the biological mechanisms responsible for its regulation. Ageing Res Rev, 27, 108-124.
  13. Morgan, A., Mooney, K. M., Wilkinson, S. J., Pickles, N., & Mc Auley, M. T. (2016). Investigating cholesterol metabolism and ageing using a systems biology approach. Proceedings of the Nutrition Society, 1-14.
  14. Morgan, A. E., Mooney, K. M., Wilkinson, S. J., Pickles, N., & Mc Auley, M. T. (2016). Mathematically modelling the dynamics of cholesterol metabolism and ageing. Biosystems, 145, 19-32.
  15. Salcedo-Sora, J. E., & Mc Auley, M. T. (2016). A mathematical model of microbial folate biosynthesis and utilisation: implications for antifolate development. Mol Biosyst, 12(3), 923-933.
  16. Choi, H., Mc Auley, M., & Lawrence, D. (2015). Prenatal exposures and exposomics of asthma. AIMS Environmental Science, 2(1), 87-109.
  17. Mc Auley, M. T., Mooney, K. M., Angell, P. J., & Wilkinson, S. J. (2015). Mathematical modelling of metabolic regulation in aging. Metabolites, 5(2), 232-251.
  18. Mc Auley, M., & Mooney, K. (2015). Computational Systems Biology for Aging Research A. Yashin, S. Jazwinski (Eds.), Aging and Health — A Systems Biology Perspective (Vol. 40, pp. 35-48): Karger.
  19. Mc Auley, M. T., & Mooney, K. M. (2015). Computationally modeling lipid metabolism and aging: a mini-review. Comput Struct Biotechnol J, 13, 38-46.
  20. Mc Auley, M. T., Choi, H., Mooney, K., Paul, E., & Miller, V. M. (2015). Systems biology and synthetic biology: A new epoch for toxicology research. Advances in Toxicology, 2015.
  21. Mc Auley, M. T., & Mooney, K. M. (2014). Lipid metabolism and hormonal interactions: impact on cardiovascular disease and healthy aging. Expert Review of Endocrinology & Metabolism, 9(4), 357-367.
  22. Mooney, K. M., & Mc Auley, M. T. (2015). Cardiovascular disease and healthy ageing. Journal of Integrative Cardiology, 1(4), 76-78.
  23. Mc Auley, M. T., Proctor, C. J., Corfe, B. M., Cuskelly, G. J., & Mooney, K. M. (2013). Nutrition research and the impact of computational systems biology. J Comput Sci Syst Biol 6: 271-285., 6(5), 271-285.
  24. Wootton, S., Mc Auley, M., Coufopoulos, A., & Mooney, K. (2013). An assessment of the energy and nutrient status of maritime security consultants. Proceedings of the Nutrition Society, 72(OCE4), E209.
  25. Mc Auley, M. T., Wilkinson, D. J., Jones, J. J., & Kirkwood, T. B. (2012). A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation. BMC Systems Biology, 6(1), 130.
  26. Wearing, L., Mc Auley, M., & Mooney, K. (2012). An evaluation of the availability and affordability of healthy foods in discount supermarkets. Proc Nutr Soc, 71(OCE2).
  27. Mc Auley, M. T., Kenny, R. A., Kirkwood, T. B., Wilkinson, D. J., Jones, J. J., & Miller, V. M. (2009). A mathematical model of aging-related and cortisol induced hippocampal dysfunction. BMC neuroscience, 10(1), 26.
  28. Stockton, D. J., Schilstra, M., Khalil, R. A., & McAuley, M. (2008). Applying Biological Control Approaches to Finite Capacity Scheduling. Paper presented at the Proceedings of the 18th International Conference on Flexible Automation and Intelligent Manufacturing.
  29. Stockton, D., Schilstra, M., Khalil, R. A., & McAuley, M. (2007). Biological control processes and their application to manufacturing planning.
  30. Mc Auley, M., Jones, J., Wilkinson, D., & Kirkwood, T. (2005). Modelling lipid metabolism to improve healthy ageing. BMC Bioinformatics, 6(Suppl 3), P21


BSc, MSc, PhD.