Is this skill useful for synthetic biology?

Absolutely. It is designed to validate the qualitative behavior of synthetic networks before moving to wet-lab implementation or heavy simulation.

Can I generate specific network motifs like oscillators?

Yes, the skill includes presets for common topologies such as the Brusselator for oscillations and the Schlögl model for bistability.

What is CRN deficiency in this context?

Deficiency is a non-negative integer calculated from the number of complexes, linkage classes, and stoichiometric rank that helps predict if a system has a unique stable equilibrium.

How does it represent chemical reactions mathematically?

It uses a bipartite hypergraph structure where reactions are nodes connecting species complexes, represented internally via stoichiometric matrices.

CRN Topology & Reaction Networks

Name: CRN Topology & Reaction Networks
Author: plurigrid

byplurigrid

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Data Science & ML

Generates and analyzes chemical reaction network (CRN) topologies to predict dynamical behaviors through graph theory and linear algebra.

The CRN Topology skill provides a specialized framework for modeling the underlying structure of chemical reaction networks. By representing reactions as bipartite hypergraphs, it allows users to generate stoichiometric matrices, calculate network deficiency, and analyze system stability. This is particularly useful for identifying the potential for oscillations, bistability, and persistence in complex systems without requiring intensive numerical simulations. It bridges the gap between abstract network theory and practical chemical engineering, making it an essential tool for synthetic biology, metabolic modeling, and systems analysis.

Key Features

01Bipartite hypergraph generation for complex reaction systems

02Automatic stoichiometric matrix computation and rank analysis

03Specialized motif generation for oscillators and bistable switches

047 GitHub stars

05Topological validation using the Zero Deficiency Theorem

06Network deficiency calculation for predicting dynamical stability

Use Cases

01Designing synthetic biological circuits with predicted dynamical outcomes

02Automating the generation of mathematically valid chemical reaction models

03Analyzing metabolic network stability and persistence in systems biology

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi crn-topology

For use in Claude.ai and ChatGPT

Download Skill