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. 2020 Nov 23;117(49):31535–31546. doi: 10.1073/pnas.1920338117

Fig. 2.

Fig. 2.

Ensemble model simulation to identify senescence-reversing targets. (A) Nodes were colored according to their scores indicating if inhibition resulted in a transition of the network output from senescence attractor to a proliferation attractor (blue, negative values) or from a senescence attractor to a quiescence attractor (red, positive values). The equation for determining the score is shown. (B) A bar graph of the ratio of Boolean network models for which inhibition of the listed node converts the senescence state into the quiescence state (R[node]sq). The values for IKBKB and CDKN2A are close to zero, but not zero. (C) A bar graph of the ratio of Boolean network models for which inhibition of the listed node converts the senescence state into the proliferation state (R[node]sp).