Tension and Robustness in Multitasking Cellular Networks
نویسندگان
چکیده
منابع مشابه
Tension and Robustness in Multitasking Cellular Networks
Cellular networks multitask by exhibiting distinct, context-dependent dynamics. However, network states (parameters) that generate a particular dynamic are often sub-optimal for others, defining a source of "tension" between them. Though multitasking is pervasive, it is not clear where tension arises, what consequences it has, and how it is resolved. We developed a generic computational framewo...
متن کاملSignaling Networks The Origins of Cellular Multitasking
same signaling component is capable of receiving signals from multiple inputs. Such networking may occur within similar classes of signaling pathways, such as J. Dedrick Jordan,* Emmanuel M. Landau,*† and Ravi Iyengar*‡ *Department of Pharmacology between the Ras and Rho pathways (see Bar-Sagi and †Department of Psychiatry Hall, 2000 [this issue of Cell]), and between different Mount Sinai Scho...
متن کاملExact quantification of cellular robustness in genome-scale metabolic networks
MOTIVATION Robustness, the ability of biological networks to uphold their functionality in spite of perturbations, is a key characteristic of all living systems. Although several theoretical approaches have been developed to formalize robustness, it still eludes an exact quantification. Here, we present a rigorous and quantitative approach for the structural robustness of metabolic networks by ...
متن کاملPerformance and Robustness of Cellular Automata Computation on Irregular Networks
We investigate the performances of collective task-solving capabilities and the robustness of complex networks of automata using the density and synchronization problems as typical cases. We show by computer simulations that evolved Watts–Strogatz smallworld networks have superior performance with respect to several kinds of scale-free graphs. In addition, we show that Watts–Strogatz networks a...
متن کاملAn entropic characterization of protein interaction networks and cellular robustness.
The structure of molecular networks is believed to determine important aspects of their cellular function, such as the organismal resilience against random perturbations. Ultimately, however, cellular behaviour is determined by the dynamical processes, which are constrained by network topology. The present work is based on a fundamental relation from dynamical systems theory, which states that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2012
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002491