Aging research is undergoing a paradigm shift, which has led to new and innovative methods of exploring this complex phenomenon. The systems biology approach, endeavours to understand biological systems in a holistic manner, by taking account of intrinsic interactions, whilst also attempting to account for the impact of external inputs, such as diet. A key technique employed in systems biology, is computational modeling, which involves mathematically describing and simulating the dynamics of biological systems. Although a large number of computational models have been developed in recent years, these models have focused on various discrete components of the aging process, and to date no model has succeeded in completely representing the full scope of aging. Combining existing models or developing new models may help to address this need and in so doing could help achieve an improved understanding of the intrinsic mechanisms which underpin aging.
|Journal||Wiley Interdisciplinary Reviews: Systems Biology and Medicine|
|Early online date||1 Jan 2016|
|Publication status||E-pub ahead of print - 1 Jan 2016|
Mooney, KM., Morgan, AE., & Mc Auley, MT. (2016). Aging and Computational Systems Biology. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 8(2), 123-139. https://doi.org/doi: 10.1002/wsbm.1328