Nutrition Research and the Impact of Computational Systems BiologyMark T Mc Auley1*, Carole J Proctor2 Bernard M Corfe3, Geraldine J Cuskelly4 and Kathleen M Mooney5
- *Corresponding Author:
- Mark T Mc Auley
Department of Health Sciences
Liverpool Hope University
Taggart Avenue, Liverpool, United Kingdom
Received date: June 18, 2013; Accepted date: September 30, 2013; Published date: October 07, 2013
Citation: Mc Auley MT, Proctor CJ, Corfe BM, Cuskelly GCJ, Mooney KM (2013) Nutrition Research and the Impact of Computational Systems Biology. J Comput Sci Syst Biol 6:271-285. doi:10.4172/jcsb.1000122
Copyright: © 2013 Mc Auley MT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The value of computational modelling in improving our understanding of complex nutrient-based pathways is becoming increasingly recognised. This is due to the integral role that computer modelling is playing within the multidisciplinary field of systems biology, where in silico quantitative simulations are being used to compliment more traditional wet-laboratory investigations. A large number of computational models are accessible via the Biomodels database, an archive of openly available peer reviewed models of biological systems. Moreover, there has been an explosion in the availability of free modelling software tools that can be used to assemble and simulate the dynamic behaviour of nutrient mediated systems. Computational modelling will continue to play an increasingly significant role in nutrition research. Thus, it is important that freely accessible models and resources relevant to nutrition research are highlighted. In response to these needs, we firstly examined the Biomodels database, to identify and categorise nutrition themed models. The outcome of the analysis revealed 163 nutrition themed models. These models are mainly cellular in nature, with intracellular representations of calcium oscillations the most common. Secondly, a generic nutrition centred modelling framework was used, to explore recent advances, data repositories and software relevant to model building. We conclude this paper by using our review findings to discuss areas of nutrition that could further exploit the potential of computational modelling in the future.