TY - GEN
T1 - Metabolic control analysis applied to mitochondrial networks
AU - Cortassa, Sonia
AU - Aon, Miguel A.
AU - O'Rourke, Brian
AU - Winslow, Raimond L.
PY - 2011
Y1 - 2011
N2 - To understand the control and regulation of mitochondrial energy metabolism a generalized matrix method of Metabolic Control Analysis has been applied to a computational model of mitochondrial energetics. The computational model of Cortassa et al. (2003) encompasses oxidative phosphorylation, the tricarboxylic acid (TCA) cycle, and ion dynamics across the inner mitochondrial membrane. Control of respiration and ATP synthesis fluxes were found to be distributed among various mitochondrial processes. Control is shared by processes associated with ATP synthesis and ATP/ADP transport, as well as by Ca 2 dynamics. The analysis of flux control coefficients and response coefficients has led to the notion of control by diffuse loops, that points to the regulatory interactions exerted by processes that are mechanistically only indirectly related with each other. The approach we have utilized demonstrates how properties of integrated systems may be understood through applications of computational modeling and control analysis.
AB - To understand the control and regulation of mitochondrial energy metabolism a generalized matrix method of Metabolic Control Analysis has been applied to a computational model of mitochondrial energetics. The computational model of Cortassa et al. (2003) encompasses oxidative phosphorylation, the tricarboxylic acid (TCA) cycle, and ion dynamics across the inner mitochondrial membrane. Control of respiration and ATP synthesis fluxes were found to be distributed among various mitochondrial processes. Control is shared by processes associated with ATP synthesis and ATP/ADP transport, as well as by Ca 2 dynamics. The analysis of flux control coefficients and response coefficients has led to the notion of control by diffuse loops, that points to the regulatory interactions exerted by processes that are mechanistically only indirectly related with each other. The approach we have utilized demonstrates how properties of integrated systems may be understood through applications of computational modeling and control analysis.
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U2 - 10.1109/IEMBS.2011.6091157
DO - 10.1109/IEMBS.2011.6091157
M3 - Conference contribution
C2 - 22255380
AN - SCOPUS:84055199869
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4673
EP - 4676
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -