cobrapy

Perform constraint-based metabolic modeling with COBRApy using FBA and FVA.

8|Updated Jan 13, 2026
One-click install
npx skills add https://github.com/hxk622/TokenDance --skill cobrapy-hxk622
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cobrapy
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/research-tools/cobrapy
Command: npx skills add https://github.com/hxk622/TokenDance --skill cobrapy-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to perform complex analyses on metabolic models, crucial for understanding cellular metabolism, predicting phenotypes, and designing metabolic engineering strategies.

Core Features & Use Cases

  • Model Loading & Management: Load, save, and manipulate metabolic models in various formats (SBML, JSON, YAML).
  • Flux Balance Analysis (FBA): Simulate metabolic flux distributions under given conditions and optimize for objectives like growth rate.
  • Flux Variability Analysis (FVA): Determine the range of possible flux values for reactions.
  • Gene/Reaction Knockouts: Simulate the effect of gene or reaction deletions on cellular metabolism.
  • Media Design & Gapfilling: Design minimal media for growth and identify missing reactions in models.
  • Use Case: Predict how deleting a specific gene in E. coli will affect its growth rate and production of a target compound like acetate.

Quick Start

Use the cobrapy skill to load the 'ecoli' model and calculate its baseline growth rate.

Frequently Asked Questions about cobrapy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform flux balance analysis on a metabolic model?

Flux balance analysis is performed by loading a metabolic model and simulating metabolic flux distributions under given conditions to optimize objectives like cellular growth rate.

How do I simulate gene knockouts to predict their effect on cellular metabolism?

Simulating gene knockouts involves modeling specific gene deletions within a metabolic network to predict their resulting effects on cellular metabolism and target compound production.

What metabolic model formats can I use for systems biology analysis?

Metabolic modeling supports SBML, JSON, and YAML model formats for loading, saving, and manipulating metabolic networks in systems biology and metabolic engineering research.

What is the best way to determine the range of possible flux values for reactions?

Flux variability analysis determines the range of possible flux values for reactions within a metabolic model, helping identify bottlenecks and alternative pathway capacities.

Can I design minimal media for growth and identify missing reactions in metabolic models?

Media design and gapfilling allow you to design minimal media required for microbial growth and identify missing reactions within metabolic models to complete network pathways.

Why use constraint-based metabolic modeling for metabolic engineering research?

Constraint-based metabolic modeling is used to understand cellular metabolism and predict phenotypes, enabling the design of effective metabolic engineering strategies for target compound production.