NAViFluX: A visualization-centric platform for interactive analysis, refinement and design of genome-scale metabolic networks
1. NAViFluX introduces a novel web-based platform that integrates visualization with metabolic network analysis, addressing the complexity and accessibility issues of genome-scale metabolic networks (GSMNs). This tool is designed to democratize GSMN usage by providing an intuitive interface for both experts and non-experts.
2. A key innovation of NAViFluX is its ability to generate native pathway maps using various layouts (linear, circular, hybrid) directly from GSMNs. Users can visualize metabolic pathways in a way that aligns with biochemical intuition, making it easier to interpret complex metabolic interactions.
3. The platform supports real-time model refinement, allowing users to add reactions from databases like BiGG and KEGG, adjust constraints, and perform gap-filling. This interactive approach enables iterative improvements to metabolic models based on visual feedback.
4. NAViFluX offers a comprehensive suite of flux analyses (FBA, pFBA, FVA, cFBA) and topology analyses, with results directly overlaid on network visualizations. This integration of analysis and visualization provides deeper insights into metabolic flux distributions and network organization.
5. The tool includes unique features such as pathway merging with preserved layouts, functional enrichment analyses (RSEA and ORA), and the ability to export models and visualizations in multiple formats (SBML, JSON, MAT). This flexibility supports diverse research needs.
6. Three case studies demonstrate NAViFluX’s capabilities: (1) Comparing carbon source utilization in E. coli by visualizing flux profiles; (2) Improving essential gene predictions through intuitive single-gene deletion simulations; (3) Engineering an optimized carbon-fixing state in E. coli. These examples highlight the platform’s versatility.
7. NAViFluX is implemented as a client-server system using React and Flask, ensuring a smooth user experience. The platform is open-source, with detailed documentation and tutorials available, making it accessible for widespread adoption in computational biology labs.
📜Paper:
biorxiv.org/content/10.64898…
#Genomics #MetabolicEngineering #Visualization #ComputationalBiology #Bioinformatics