ArticlePLoS computational biology2021
A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 26 citations in OpenAlex.
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- Evaluating plant growth-defense trade-offs by modeling the interaction between primary and secondary metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mechanisms and Strategies for Engineering Oxidative Stress Resistance inChem & bio engineering · 2025Review
- The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification.Annual review of biomedical engineering · 2025Review
- GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data.BMC bioinformatics · 2025Article
- Reconstruction, simulation and analysis of enzyme-constrained metabolic models using GECKO Toolbox 3.0.Nature protocols · 2024Review
- Maximizing multi-reaction dependencies provides more accurate and precise predictions of intracellular fluxes than the principle of parsimony.PLoS computational biology · 2023Article
- Machine learning for metabolic pathway optimization: A review.Computational and structural biotechnology journal · 2023Review
- Multi-scale model suggests the trade-off between protein and ATP demand as a driver of metabolic changes during yeast replicative ageing.PLoS computational biology · 2022Article
- Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0.Nature communications · 2022Article
- Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae.FEMS yeast research · 2022Review
- The choice of the objective function in flux balance analysis is crucial for predicting replicative lifespans in yeast.PloS one · 2022Article
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- D-Xylose Sensing inInternational journal of molecular sciences · 2021Review
- Personalized Medicine to Improve Treatment of Dopa-Responsive Dystonia-A Focus on Tyrosine Hydroxylase Deficiency.Journal of personalized medicine · 2021Review
- Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection.Molecular systems biology · 2021Article
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6 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
The interplay between nutrient-induced signaling and metabolism plays an important role in maintaining homeostasis and its malfunction has been implicated in many different human diseases such as obesity, type 2 diabetes, cancer, and neurological disorders. Therefore, unraveling the role of nutrients as signaling molecules and metabolites together with their interconnectivity may provide a deeper understanding of how these conditions occur. Both signaling and metabolism have been extensively studied using various systems biology approaches. However, they are mainly studied individually and in addition, current models lack both the complexity of the dynamics and the effects of the crosstalk in the signaling system. To gain a better understanding of the interconnectivity between nutrient signaling and metabolism in yeast cells, we developed a hybrid model, combining a Boolean module, describing the main pathways of glucose and nitrogen signaling, and an enzyme-constrained model accounting for the central carbon metabolism of Saccharomyces cerevisiae, using a regulatory network as a link. The resulting hybrid model was able to capture a diverse utalization of isoenzymes and to our knowledge outperforms constraint-based models in the prediction of individual enzymes for both respiratory and mixed metabolism. The model showed that during fermentation, enzyme utilization has a major contribution in governing protein allocation, while in low glucose conditions robustness and control are prioritized. In addition, the model was capable of reproducing the regulatory effects that are associated with the Crabtree effect and glucose repression, as well as regulatory effects associated with lifespan increase during caloric restriction. Overall, we show that our hybrid model provides a comprehensive framework for the study of the non-trivial effects of the interplay between signaling and metabolism, suggesting connections between the Snf1 signaling pathways and processes that have been related to chronological lifespan of yeast cells.
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