The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases

Area of Science:

• Systems Biology
• Computational Biology
• Metabolic Engineering

Background:

• Genome-scale metabolic models are crucial for predicting cellular behavior.
• Current flux balance analysis (FBA) tools often lack a metabolite-centric perspective.
• Analyzing metabolic flux distributions is key to understanding cellular functions.

Purpose of the Study:

• Introduce Metano, a toolbox for metabolic model analysis and refinement.
• Present the Metano Modeling Toolbox (MMTB), a web-based platform for metabolic modeling.
• Provide a metabolite-centric view of flux distributions, complementing reaction-centric approaches.

Main Methods:

• Developed Metano with split-ratio analysis and metabolite flux minimization.
• Created MMTB, a web-based toolbox with a user-friendly interface for Metano methods.
• Integrated reaction and enzymatic annotation data for bottom-up model construction.

Main Results:

• Metano enables novel metabolite-centric analysis of metabolic networks.
• MMTB offers intuitive access to common modeling methods and visualizations.
• MMTB facilitates model uploading, sharing, and community-driven analysis.

Conclusions:

• Metano and MMTB enhance the analysis and construction of genome-scale metabolic models.
• The tools cater to both experienced and non-experienced users in metabolic modeling.
• MMTB fosters a collaborative environment for metabolic model exploration and refinement.