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Contribution of canonical feed-forward loop motifs on the fault-tolerance and information transport efficiency of transcriptional regulatory networks
2015
Nano Communication Networks
Motifs and degree distribution in transcriptional regulatory networks play an important role towards their fault-tolerance and efficient information transport. In this paper, we designed an innovative in silico canonical feed-forward loop motif knockout experiment in the transcriptional regulatory network of E. coli to assess their impact on the following five topological features: average shortest path, diameter, closeness centrality, global and local clustering coefficients. Additional
doi:10.1016/j.nancom.2015.04.002
fatcat:uz5rjcnab5fbnmguaosh4vsdtm