ArticleiScience2026
Thermodynamically enabled and reaction attuned estimation of metabolic fluxes.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
5 authors.
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Abstract
Mathematical models of metabolism based on mass-balance constraints are essential for analyzing cellular biochemistry, but their predictions are often compromised by thermodynamically infeasible flux cycles-unrealistic loops of biochemical reactions that circulate continuously without external energy input. Here, we introduce Teraflux, a method that generates transcriptome-specific metabolic flux estimations free of these cycles. Teraflux maximizes Shannon entropy weighted by gene expression data while enforcing relaxed thermodynamic consistency. By distinguishing between chemical potentials and reaction rates, it uses flux constraints to encode biological irreversibility without overfitting the chemical potential space. Across diverse experimental conditions in
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