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
Jens B Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
Journal of Internal Medicine
0954-6820 (ISSN) 1365-2796 (eISSN)
Vol. 271 2 142-154Subject Categories
Biological Sciences
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.1111/j.1365-2796.2011.02493.x