The Competitive Catabolism web application is an interactive platform for exploring multi-nutrient metabolic dynamics. This tool is based on a validated computational model that simulates how different nutrients (glucose, fatty acids, lactate, and ketones) compete for oxidation under various physiological and pathological conditions.
This simulator is based on research investigating metabolic fuel competition and its role in metabolic health and disease. The model integrates theory and experimental observations to provide physiologically relevant predictions of fasted metabolic homeostasis.
For more details about the scientific basis of this model, please refer to our publication:
Competitive catabolism in systemic metabolic homeostasis - bioRxiv
This project is open source. The code is available on GitHub:
github.com/weilandtd/CompetitiveCatabolism
For questions, feedback, or collaboration inquiries, please contact:
Email: daniel.weilandt@princeton.edu
Institution: Princeton University
If you use this simulator or model in your research, please cite our work:
Competitive catabolism in systemic metabolic homeostasis
Daniel R. Weilandt, Won Dong Lee, Michael R MacArthur, Lingfan Liang, Corey Holman,
Qingwei Chu, Alexis J. Cowan, Joseph A Baur, Ned S Wingreen, Joshua Rabinowitz
bioRxiv 2025.10.29.684184; doi: https://doi.org/10.1101/2025.10.29.684184