Dataset Information
Amstein2022 - TNFR1 Signal Transduction, Petri Net
Ontology highlight
ABSTRACT:
SUBMITTER: 
Ann-Kathrin Otto
PROVIDER: MODEL2210170001 | BioModels | 2022-11-01
REPOSITORIES: BioModels
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| MODEL2210170001?filename=Amstein2022%20-%20TNFR1%20Signal%20Transduction%20-%20Petri%20Net.xml | Xml |
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Publications
Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways applying Petri net formalism and in silico knockout analysis.
PLoS computational biology 20220822 8
The paper describes a mathematical model of the molecular switches of cell survival, apoptosis, and necroptosis in cellular signaling pathways initiated by tumor necrosis factor 1. Based on experimental findings in the literature, we constructed a Petri net model based on detailed molecular reactions of the molecular players, protein complexes, post-translational modifications, and cross talk. The model comprises 118 biochemical entities, 130 reactions, and 299 edges. We verified the model by ev ...[more]
