AbstractThe p53 protein interaction network is crucial in regulating the metazoan cell cycle and apoptosis. Here, the robustness of the p53 network is studied by analyzing its degeneration under two modes of attack. Linear Programming is used to calculate average path lengths among proteins and the network diameter as measures of functionality. The p53 network is found to be robust to random loss of nodes, but vulnerable to a targeted attack against its hubs, as a result of its architecture. The significance of the results is considered with respect to mutational knockouts of proteins and the directed attacks mounted by tumour inducing viruses
The tumor protein TP53 gene, encoding the cellular tumor antigen p53, is the single most frequently ...
Abstract Experimental work and theoretical models deduce a "digital" response of the ...
This monograph addresses the decomposition of biochemical networks into functional modules that pres...
AbstractThe p53 protein interaction network is crucial in regulating the metazoan cell cycle and apo...
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network...
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network...
A four-node network consisting of a negative circuit controlling a positive one is studied. It model...
p53 is the central protein in the DNA damage response and is part of a complex and extensive gene re...
A cell has to react to a multitude of different extrinsic and intrinsic stress signals on a daily ba...
The tumor suppressor p53 plays a vital role in responding to cell stressors such as DNA damage, hypo...
The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the c...
The gene TP53, which encodes the tumor suppressor protein p53, is mutated in about 50% of cancers. I...
Metabolic networks are composed of several functional modules, reproducing metabolic pathways and de...
The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the c...
The tumor suppressor protein p53 plays a central role in the multiple response pathways activated by...
The tumor protein TP53 gene, encoding the cellular tumor antigen p53, is the single most frequently ...
Abstract Experimental work and theoretical models deduce a "digital" response of the ...
This monograph addresses the decomposition of biochemical networks into functional modules that pres...
AbstractThe p53 protein interaction network is crucial in regulating the metazoan cell cycle and apo...
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network...
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network...
A four-node network consisting of a negative circuit controlling a positive one is studied. It model...
p53 is the central protein in the DNA damage response and is part of a complex and extensive gene re...
A cell has to react to a multitude of different extrinsic and intrinsic stress signals on a daily ba...
The tumor suppressor p53 plays a vital role in responding to cell stressors such as DNA damage, hypo...
The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the c...
The gene TP53, which encodes the tumor suppressor protein p53, is mutated in about 50% of cancers. I...
Metabolic networks are composed of several functional modules, reproducing metabolic pathways and de...
The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the c...
The tumor suppressor protein p53 plays a central role in the multiple response pathways activated by...
The tumor protein TP53 gene, encoding the cellular tumor antigen p53, is the single most frequently ...
Abstract Experimental work and theoretical models deduce a "digital" response of the ...
This monograph addresses the decomposition of biochemical networks into functional modules that pres...