Mixed
Integrative computational modeling is required to understand the multiscale physiological responses to nutrition, bridging the gap between molecular mechanisms and whole-body metabolic syndrome outcomes.
To truly understand how diet affects health, especially for conditions like obesity and metabolic syndrome, we must move beyond simple statistics and use computational models that integrate data from genes to whole-body physiology. This approach allows us to predict how specific nutrients interact with biological systems over time.
Without such a quantitative and integrative approach, it is inevitable that one will get lost in the tangle of bubbles and arrows typical of conceptual models and find oneself unable to weigh the relative importance of each component or interaction in determining the overall physiological phenotype.
Why this rating
This is a high-level review by multiple experts synthesizing decades of modeling work.
Source
Nutritional Systems Biology Modeling: From Molecular Mechanisms to Physiology
Albert A. de Graaf et al. · PLoS Computational Biology · 2009
DOI 10.1371/journal.pcbi.1000554
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