Figures
Living cells must appropriately balance responsiveness with noise suppression to reliably execute physiological programs.
Pictured are two biomolecular networks from budding yeast, composed of different basic architectures. The generalized time-frequency analysis framework developed by Ratushny et al. enables the systematic exploration of the dynamical properties of biomolecular networks. Using this framework, the authors reveal remarkably distinct network behaviors in terms of trade-offs between responsiveness and noise suppression that are appropriately tuned to each biological response. (See Ratushny et al., doi: 10.1371/journal.pcbi.1002091)
Image Credit: Alexander V. Ratushny, Institute for Systems Biology, USA.
Citation: (2011) PLoS Computational Biology Issue Image | Vol. 7(6) June 2011. PLoS Comput Biol 7(6): ev07.i06. https://doi.org/10.1371/image.pcbi.v07.i06
Published: June 30, 2011
Copyright: © 2011 Ratushny. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Pictured are two biomolecular networks from budding yeast, composed of different basic architectures. The generalized time-frequency analysis framework developed by Ratushny et al. enables the systematic exploration of the dynamical properties of biomolecular networks. Using this framework, the authors reveal remarkably distinct network behaviors in terms of trade-offs between responsiveness and noise suppression that are appropriately tuned to each biological response. (See Ratushny et al., doi: 10.1371/journal.pcbi.1002091)
Image Credit: Alexander V. Ratushny, Institute for Systems Biology, USA.