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ΔFBA: Predicting metabolic flux alterations using genome-scale metabolic models and differential transcriptomic data

2021-01-19

Abstract excerpt

Genome-scale metabolic models (GEMs) provide a powerful framework for simulating the entire set of biochemical reactions occurring in a cell. Constraint-based modeling tools like flux balance analysis (FBA) developed for the purposes of predicting metabolic flux distribution using GEMs face considerable difficulties in estimating metabolic flux alterations between experimental conditions. Particularly, the most ap...

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Literature Corpus work
4af4b0e7-1c23-54ca-a0ff-a4df1ef0411f
DOI
10.1101/2021.01.18.427188
Open publication

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ΔFBA: Predicting metabolic flux alterations using genome-scale metabolic models and differential transcriptomic dataDOI 10.1101/2021.01.18.427188
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