Apr 25, 2013

Genome-scale modeling of human metabolism - a systems biology approach

Biotechnology Journal
Adil MardinogluJens Nielsen

Abstract

Altered metabolism is linked to the appearance of various human diseases and a better understanding of disease-associated metabolic changes may lead to the identification of novel prognostic biomarkers and the development of new therapies. Genome-scale metabolic models (GEMs) have been employed for studying human metabolism in a systematic manner, as well as for understanding complex human diseases. In the past decade, such metabolic models - one of the fundamental aspects of systems biology - have started contributing to the understanding of the mechanistic relationship between genotype and phenotype. In this review, we focus on the construction of the Human Metabolic Reaction database, the generation of healthy cell type- and cancer-specific GEMs using different procedures, and the potential applications of these developments in the study of human metabolism and in the identification of metabolic changes associated with various disorders. We further examine how in silico genome-scale reconstructions can be employed to simulate metabolic flux distributions and how high-throughput omics data can be analyzed in a context-dependent fashion. Insights yielded from this mechanistic modeling approach can be used for identifying new t...Continue Reading

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  • Citations42

Citations

Mentioned in this Paper

Metabolic Process, Cellular
In Silico
Metabolic Networks and Pathways
Congenital, Hereditary, and Neonatal Diseases and Abnormalities
Therapeutic Agent
Metabolic Pathway
Individualized Medicine
Coiled Bodies
Knowledge Translation
Cell Type

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