Metabolites 2012, 2(1), 242-253; doi:10.3390/metabo2010242
Review

Human Metabolic Network: Reconstruction, Simulation, and Applications in Systems Biology

1,* email and 1,2,3,* email
Received: 30 January 2012; in revised form: 18 February 2012 / Accepted: 27 February 2012 / Published: 2 March 2012
(This article belongs to the Special Issue Metabolic Network Models)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Metabolism is crucial to cell growth and proliferation. Deficiency or alterations in metabolic functions are known to be involved in many human diseases. Therefore, understanding the human metabolic system is important for the study and treatment of complex diseases. Current reconstructions of the global human metabolic network provide a computational platform to integrate genome-scale information on metabolism. The platform enables a systematic study of the regulation and is applicable to a wide variety of cases, wherein one could rely on in silico perturbations to predict novel targets, interpret systemic effects, and identify alterations in the metabolic states to better understand the genotype-phenotype relationships. In this review, we describe the reconstruction of the human metabolic network, introduce the constraint based modeling approach to analyze metabolic networks, and discuss systems biology applications to study human physiology and pathology. We highlight the challenges and opportunities in network reconstruction and systems modeling of the human metabolic system.
Keywords: human metabolic network; reconstructing context-dependent metabolic network; Constraint Based Modeling; simulation; systems biology
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MDPI and ACS Style

Wu, M.; Chan, C. Human Metabolic Network: Reconstruction, Simulation, and Applications in Systems Biology. Metabolites 2012, 2, 242-253.

AMA Style

Wu M, Chan C. Human Metabolic Network: Reconstruction, Simulation, and Applications in Systems Biology. Metabolites. 2012; 2(1):242-253.

Chicago/Turabian Style

Wu, Ming; Chan, Christina. 2012. "Human Metabolic Network: Reconstruction, Simulation, and Applications in Systems Biology." Metabolites 2, no. 1: 242-253.

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