In Silico Evolution of Signaling Networks Using Rule-Based Models: Bistable Response Dynamics.

@article{Feng2019InSE,
  title={In Silico Evolution of Signaling Networks Using Rule-Based Models: Bistable Response Dynamics.},
  author={Song Feng and Orkun S. Soyer},
  journal={Methods in molecular biology},
  year={2019},
  volume={1945},
  pages={
          315-339
        }
}
  • Song Feng, O. Soyer
  • Published 1 February 2018
  • Medicine, Biology
  • Methods in molecular biology
One of the ultimate goals in biology is to understand the design principles of biological systems. Such principles, if they exist, can help us better understand complex, natural biological systems and guide the engineering of de novo ones. Toward deciphering design principles, in silico evolution of biological systems with proper abstraction is a promising approach. Here, we demonstrate the application of in silico evolution combined with rule-based modeling for exploring design principles of… Expand
Dynamics and Sensitivity of Signaling Pathways
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