PMID:23194062
| Citation |
Zamal, FA and Ruths, D (2012) On the contributions of topological features to transcriptional regulatory network robustness. BMC Bioinformatics 13:318 |
|---|---|
| Abstract |
Because biological networks exhibit a high-degree of robustness, a systemic understanding of their architecture and function requires an appraisal of the network design principles that confer robustness. In this project, we conduct a computational study of the contribution of three degree-based topological properties (transcription factor-target ratio, degree distribution, cross-talk suppression) and their combinations on the robustness of transcriptional regulatory networks. We seek to quantify the relative degree of robustness conferred by each property (and combination) and also to determine the extent to which these properties alone can explain the robustness observed in transcriptional networks. |
| Links |
PubMed PMC3541983 Online version:10.1186/1471-2105-13-318 |
| Keywords |
Computational Biology/methods; Escherichia coli/genetics; Escherichia coli/metabolism; Escherichia coli Proteins/metabolism; Fungal Proteins/genetics; Fungal Proteins/metabolism; Gene Regulatory Networks; Transcription Factors/genetics; Transcription Factors/metabolism; Yeasts/genetics; Yeasts/metabolism |
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