Publication: Exhaustive identification of steady state cycles in large stoichiometric networks
Exhaustive identification of steady state cycles in large stoichiometric networks
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Wright, J., & Wagner, A. (2008). Exhaustive identification of steady state cycles in large stoichiometric networks. BMC Systems Biology, 2, 61. https://doi.org/10.1186/1752-0509-2-61
Abstract
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BACKGROUND: Identifying cyclic pathways in chemical reaction networks is important, because such cycles may indicate in silico violation of energy conservation, or the existence of feedback in vivo. Unfortunately, our ability to identify cycles in stoichiometric networks, such as signal transduction and genome-scale metabolic networks, has been hampered by the computational complexity of the methods currently used. RESULTS: We describe a new algorithm for the identification of cycles in stoichiometric networks, and we compare its perf
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- Wright, J
- Wagner, A
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Citations
Wright, J., & Wagner, A. (2008). Exhaustive identification of steady state cycles in large stoichiometric networks. BMC Systems Biology, 2, 61. https://doi.org/10.1186/1752-0509-2-61
