Output details

Rule-Based Modelling and Model Perturbation

<28> Originality: This paper introduces a hierachical language to generate structured families of rule-based models to express mutations, splice variants, protein families, and perturbational analyses uniformly.

Significance: Model perturbations pose a formidable challenge because they introduce a second kind of combinatorial explosion in biological modelling. This methodology improves on rule-based modelling of combinatorial systems of interacting biological agents. Provides a step in the bridging of systems biology models with bioinformatics knowledge, crucial to the eventual upscaling of modelling techniques to realistic cellular scales.

Rigour: A compiler to ordinary rule-based models is given. The method is applied to an EGF example.