Generating synthetic signaling networks

What is it about?

We developed a method for generating artificial signaling networks that were reasonably realistic and thus could be treated as ground truth models. We defined the reaction degree and reaction distance to measure the topology of reaction networks, especially to consider enzymes.

Featured Image

Why is it important?

These synthetic models could then be used to generate synthetic data for developing and testing algorithms designed to recover the underlying network topology and associated parameters.