Systems medicine and metabolic modelling
Journal article, 2012

Several complex diseases are caused by the malfunction of human metabolism, and deciphering the underlying molecular mechanisms can elucidate their aetiology. Systems biology is an integrative approach combining experimental and computational biology to identify and describe the molecular mechanisms of complex biological systems. Systems medicine has the potential to elucidate the onset and progression of complex metabolic diseases through the use of computational approaches. Advances in biotechnology have resulted in the provision of high-throughput data, which provide information about different metabolic processes. The systems medicine approach can utilize such data to reconstruct genome-scale metabolic models that can be used to study the function of specific enzymes and pathways in the context of the complete metabolic network. In this review, we outline the importance of genome-scale models in systems medicine and discuss how they may contribute towards the development of personalized medicine.

genome-scale metabolic models

metabolism

biology

obesity

knowledge

drug discovery

integration

kegg

expression

systems medicine

genome

network reconstruction

personalized medicine

human protein atlas

systems biology

Author

Adil Mardinoglu

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Jens B Nielsen

Chalmers, Chemical and Biological Engineering, Life Sciences, System Biology

Journal of Internal Medicine

0954-6820 (ISSN) 1365-2796 (eISSN)

Vol. 271 2 142-154

Subject Categories

Biological Sciences

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1111/j.1365-2796.2011.02493.x

More information

Created

10/8/2017