Understanding human metabolic physiology: a genome-to-systems approach - PubMed
Review
Understanding human metabolic physiology: a genome-to-systems approach
Monica L Mo et al. Trends Biotechnol. 2009 Jan.
Abstract
The intricate nature of human physiology renders its study a difficult undertaking, and a systems biology approach is necessary to understand the complex interactions involved. Network reconstruction is a key step in systems biology and represents a common denominator because all systems biology research on a target organism relies on such a representation. With the recent development of genome-scale human metabolic networks, metabolic systems analysis is now possible and has initiated a shift towards human systems biology. Here, we review the important aspects of reconstructing a bottom-up human metabolic network, the network's role in modeling human physiology and the necessity for a community-based consensus reconstruction of human metabolism to be established.
Similar articles
-
Wingender E. Wingender E. Brief Bioinform. 2008 Jul;9(4):326-32. doi: 10.1093/bib/bbn016. Epub 2008 Apr 24. Brief Bioinform. 2008. PMID: 18436575
-
Gene regulatory network inference: data integration in dynamic models-a review.
Hecker M, Lambeck S, Toepfer S, van Someren E, Guthke R. Hecker M, et al. Biosystems. 2009 Apr;96(1):86-103. doi: 10.1016/j.biosystems.2008.12.004. Epub 2008 Dec 27. Biosystems. 2009. PMID: 19150482 Review.
-
Biological networks in metabolic P systems.
Manca V, Bianco L. Manca V, et al. Biosystems. 2008 Mar;91(3):489-98. doi: 10.1016/j.biosystems.2006.11.009. Epub 2007 Jul 14. Biosystems. 2008. PMID: 17761386
-
P systems applications to systems biology.
Gheorghe M, Krasnogor N, Camara M. Gheorghe M, et al. Biosystems. 2008 Mar;91(3):435-7. doi: 10.1016/j.biosystems.2007.07.002. Epub 2007 Jul 17. Biosystems. 2008. PMID: 17728056 No abstract available.
-
Modelling metapopulations with stochastic membrane systems.
Besozzi D, Cazzaniga P, Pescini D, Mauri G. Besozzi D, et al. Biosystems. 2008 Mar;91(3):499-514. doi: 10.1016/j.biosystems.2006.12.011. Epub 2007 Aug 11. Biosystems. 2008. PMID: 17904729 Review.
Cited by
-
Sohn SB, Kim TY, Lee JH, Lee SY. Sohn SB, et al. BMC Syst Biol. 2012 Jul 5;6:49. doi: 10.1186/1752-0509-6-49. BMC Syst Biol. 2012. PMID: 22631437 Free PMC article.
-
Critical assessment of human metabolic pathway databases: a stepping stone for future integration.
Stobbe MD, Houten SM, Jansen GA, van Kampen AH, Moerland PD. Stobbe MD, et al. BMC Syst Biol. 2011 Oct 14;5:165. doi: 10.1186/1752-0509-5-165. BMC Syst Biol. 2011. PMID: 21999653 Free PMC article.
-
Bionaz M, Loor JJ. Bionaz M, et al. Gene Regul Syst Bio. 2012;6:109-25. doi: 10.4137/GRSB.S9852. Epub 2012 Jun 25. Gene Regul Syst Bio. 2012. PMID: 22807626 Free PMC article.
-
Mahadevan R, Palsson BØ, Lovley DR. Mahadevan R, et al. Nat Rev Microbiol. 2011 Jan;9(1):39-50. doi: 10.1038/nrmicro2456. Epub 2010 Dec 6. Nat Rev Microbiol. 2011. PMID: 21132020 Review.
-
Evidence for the adaptation of protein pH-dependence to subcellular pH.
Chan P, Warwicker J. Chan P, et al. BMC Biol. 2009 Oct 22;7:69. doi: 10.1186/1741-7007-7-69. BMC Biol. 2009. PMID: 19849832 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources