MMINT: a Metabolic Model Interactive Network Tool for the exploration and comparative visualisation of metabolic networks
Juan Pablo Molina OrtiziD, Matthew J. Morgan, Amy M. PateniD, Andrew C. WardeniD, Philip KilbyiD
Abstract
Genome-scale metabolic models (GEMs) are essential tools in systems and synthetic biology, enabling the mathematical simulation of metabolic pathways encoded in genomes to predict phenotypes. The complexity of GEMs, however, can often limit the interpretation and comparison of their outputs. Here, we present MMINT (Metabolic Modelling Interactive Network Tool), designed to facilitate the exploration and comparison of metabolic networks. MMINT employs GEM networks and flux solutions derived from Constraint Based Analysis (e.g. Flux Balance Analysis) to create interactive visualizations. This tool allows for seamless toggling of source and target metabolites, network decluttering, enabling exploration and comparison of flux solutions by highlighting similarities and differences between metabolic states, which enhances the identification of mechanistic drivers of phenotypes. We demonstrate MMINTs capabilities using the Pyrococcus furiosus GEM, showcasing its application in distinguishing the metabolic drivers of acetate- and ethanol-producing phenotypes. By providing an intuitive and responsive model-exploration experience, MMINT addresses the need for a tool that simplifies the interpretation of GEM outputs and supports the discovery of novel metabolic engineering strategies. MMINT is available at https://doi.org/10.6084/m9.figshare.26409328 Graphical abstractMMINT functionalities provide an intuitive and responsive model-exploration experience, enabling flux solution comparison and the identification of metabolic drivers of phenotypes O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/606923v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@163d42eorg.highwire.dtl.DTLVardef@ff2922org.highwire.dtl.DTLVardef@1e5881aorg.highwire.dtl.DTLVardef@4a8bf0_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- ComMet: A method for comparing metabolic states in genome-scale metabolic models
Chaitra Sarathy, Marian Breuer, … Ilja C.W. Arts·bioRxiv·Sep 14, 2020
- MetworkPy: A Python Package for Graph- and Information-theoretic Investigation of Metabolic Networks
Braden T Griebel, Shuyi Ma·bioRxiv·Oct 11, 2026
- NAViFluX: a visualization-centric platform for interactive analysis, refinement and design of genome-scale metabolic networks
Manjunatha Beduru Krishnamurthy, Pasupula Sridhar Harish, Abhishek Subramanian·BioinformaticsPeer-reviewed·Apr 17, 2026
- NEMETEX: a Python software for the visualisation of the network of metabolic exchanges
Michela Palamin, Alice Frisinghelli, … Stefano Campanaro·bioRxiv·Oct 19, 2022
- GEMtractor: Extracting Views into Genome-scale Metabolic Models
Martin Scharm, Olaf Wolkenhauer A, … Ali Salehzadeh‐Yazdi·BioinformaticsPeer-reviewed·Jan 24, 2020
- in silico analysis and comparison of the metabolic capabilities of different organisms by reducing metabolic complexity
Evangelia Vayena, Meriç Ataman, Vassily Hatzimanikatis A·MicrobiomePeer-reviewed·Feb 3, 2026