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doi: 10.6062/jcis.2012.03.01.0050

(Free PDF)Güell O., Sagués F., Basler G., Nikoloski Z., and Serrano M. A.

Complex networks have been shown to be robust against random structural perturbations, but vulnerable against targeted attacks. Robustness analysis usually simulates the removal of individual or sets of nodes, followed by the assessment of the inflicted damage. For complex metabolic networks, it has been suggested that evolutionary pressure may favor robustness against reaction removal. However, the removal of a reaction and its impact on the network may as well be interpreted as selective regulation of pathway activities, suggesting a tradeoff between the efficiency of regulation and vulnerability. Here, we employ a cascading failure algorithm to simulate the removal of single and pairs of reactions from the metabolic networks of two organisms, and estimate the significance of the results using two different null models: degree preserving and mass-balanced randomization. Our analysis suggests that evolutionary pressure promotes larger cascades of non-viable reactions, and thus favors the ability of efficient metabolic regulation at the expense of robustness.

metabolic networks, robustness, cascading failure, null models.

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Combining wavelets and linear spectral mixture model for MODIS satellite sensor time-series analysis

doi: 10.6062/jcis.2008.01.01.0005

Freitas and Shimabukuro(Free PDF) Riddled basins in complex physical and biological systems

doi: 10.6062/jcis.2009.01.02.0009

Viana et al.(Free PDF) Use of ordinary Kriging algorithm and wavelet analysis to understanding the turbidity behavior in an Amazon floodplain

doi: 10.6062/jcis.2008.01.01.0006

Alcantara.(Free PDF) A new multi-particle collision algorithm for optimization in a high performance environment

doi: 10.6062/jcis.2008.01.01.0001

Luz et al.((Free PDF)