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Discovery of Drug Synergies in Gastric Cancer Cells Predicted by Logical Modeling

Fig 2

Prior knowledge network representing the cell fate decision network governing growth of AGS gastric adenocarcinoma cells.

The network receives no external input but encompasses two outputs Antisurvival and Prosurvival (phenotypic readouts, colored in red for Antisurvival and green for Prosurvival). Activating regulations are denoted by green arrows, while red T arrows denote inhibition. Signaling component nodes (proteins, protein complexes or genes) associated with Boolean variables (taking the values 0, 1) are represented by ellipses, while rectangles depict nodes encoded with multilevel variables. Yellow nodes represent drug targets and are subjected to inhibitory perturbations during simulations.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1004426.g002