Design and statistical properties of robust functional networks: A model study of biological signal transduction
- 19 January 2007
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 75 (1) , 015101
- https://doi.org/10.1103/physreve.75.015101
Abstract
A simple flow network model of biological signal transduction is investigated. Networks with prescribed signal processing functions, robust against random node or link removals, are designed through an evolutionary optimization process. Statistical properties of large ensembles of such networks, including their characteristic motif distributions, are determined. Our analysis suggests that robustness against link removals plays the principal role in the architecture of real signal transduction networks and developmental genetic transcription networks.Keywords
This publication has 11 references indexed in Scilit:
- Expanding Metabolic Networks: Scopes of Compounds, Robustness, and EvolutionJournal of Molecular Evolution, 2005
- Optimization of network robustness to waves of targeted and random attacksPhysical Review E, 2005
- The yeast cell-cycle network is robustly designedProceedings of the National Academy of Sciences, 2004
- Superfamilies of Evolved and Designed NetworksScience, 2004
- Evolutionary reconstruction of networksPhysical Review E, 2002
- Network Robustness and Fragility: Percolation on Random GraphsPhysical Review Letters, 2000
- Robustness as an evolutionary principleProceedings Of The Royal Society B-Biological Sciences, 2000
- Error and attack tolerance of complex networksNature, 2000
- Robustness in bacterial chemotaxisNature, 1999
- Parameter Sensitivity as a Criterion for Evaluating and Comparing the Performance of Biochemical SystemsNature, 1971