A model repository of published Boolean models of cell signaling and regulatory networks.
Models of the prostate carcinoma from the paper Montagud, A. et al. (2022) Patient-specific Boolean models of signalling networks guide personalised treatments. eLife, 11, e72626. can be found in the prostate cancer folder ready to be used in PhysiBoSS.
The generic model was personalised using mutation and RNAseq data to produce the cell line-specific models of the cell lines folder.
Model of the gastric adenocarcinoma AGS cell line from the paper Flobak, Å. et al. (2015) Discovery of Drug Synergies in Gastric Cancer Cells Predicted by Logical Modeling. PLOS Computational Biology, 11, e1004426. can be found in the gastric cancer folder ready to be used in PhysiBoSS.
Model of cell fate decision recapitulating and integrating the most consistent interactions extracted from the literature which provides a generic high-level view of the interplays between NFkappaB pro-survival pathway, RIP1-dependent necrosis, and the apoptosis pathway in response to death receptor-mediated signals from the paper Calzone L, et al (2010) Mathematical modelling of cell-fate decision in response to death receptor engagement. PLoS Computational Biology. 6, e1000702. can be found in the TNF Cell Fate folder ready to be used in PhysiBoSS.