CatReNet

CatReNet facilitates interactive analysis of catalytic reaction networks through fast and exact algorithms for computing self-sustaining autocatalytic subnetworks and dynamic visualizations for understanding complex biochemical systems.

Key Features:

• Autocatalytic subnetwork computation: Computes CAFs (constructively autocatalytic food-generated networks), RAFs (reflexively autocatalytic food-generated networks), and pseudo-RAFs.
• Dynamic visualizations: Provides interactive visual exploration of catalytic reaction networks.

Scientific Applications:

• Biochemical systems analysis: Supports exploration and understanding of complex catalytic reaction networks that model biochemical systems.

Methodology:

Fast and exact algorithms for computing autocatalytic subnetworks.