TY - JOUR
T1 - Nutrition Research and the Impact of Computational Systems Biology
AU - Mc Auley, Mark T
AU - Proctor, Carole J
AU - Corfe, Bernard M
AU - Cuskelly, Geraldine J
AU - Mooney, Kathleen M
PY - 2013/10/7
Y1 - 2013/10/7
N2 - 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 softwarerelevant 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.
AB - 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 softwarerelevant 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.
UR - http://www.omicsonline.org/archive-computer-science-systems-biology-open-access.php
U2 - 10.4172/jcsb.1000122
DO - 10.4172/jcsb.1000122
M3 - Article (journal)
SN - 0974-7230
VL - 6
SP - 271
EP - 285
JO - Journal of Computer Science & Systems Biology
JF - Journal of Computer Science & Systems Biology
IS - 5
ER -