Modular model of TNFα cytotoxicity | Zendy

Roberto Chignola | Zendy; Vladislav Vyshemirsky | Zendy; Marcello Farina | Zendy; Alessio Del Fabbro | Zendy; E. Milotti | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Modular model of TNFα cytotoxicity

Author(s) -

Roberto Chignola,

Vladislav Vyshemirsky,

Marcello Farina,

Alessio Del Fabbro,

E. Milotti

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr297

Subject(s) - sbml , computer science , modular design , bayesian probability , inference , tumor necrosis factor alpha , computational biology , algorithm , biology , artificial intelligence , programming language , immunology , markup language , xml , operating system

Tumour Necrosis Factor alpha (TNF) initiates a complex series of biochemical events in the cell upon binding to its type R1 receptor (TNF-R1). Recent experimental work has unravelled the molecular regulation of the signalling complexes that lead either to cell survival or death. Survival signals are activated by direct binding of TNF to TNF-R1 at the cell membrane whereas apoptotic signals by endocytosed TNF/TNF-R1 complexes. Here we describe a reduced, effective model with few free parameters, where we group some intricate mechanisms into effective modules, that successfully describes this complex set of actions. We study the parameter space to show that the model is structurally stable and robust over a broad range of parameter values.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research