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[Re] Predicting metabolic biomarkers of human inborn errors of metabolism

A replication about predicting metabolic biomarkers with flux-variability analysis and metabolic reconstruction.

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External publication. Published by its original venue; not published in our journal.

A QUESTION TO TAKE FURTHER

Can a bounded flux-variability computation recover analytically known feasible ranges in a small network?

The evaluator supplies stoichiometry and constraints, independently checks mass balance and range bounds, and does not infer clinical biomarker validity from the toy network.

What you could produce

  • Versioned protocol, input and environment manifest, and independent per-case comparison table including uncertainty and incomplete cases.

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Limits to keep in view

  • No research code was executed; no independent scientific verification has been performed.
  • The current qualified pilot is self-contained Python 3.13 with a 90-second author deadline. This article's environment has not been qualified for that path.
  • Published source metadata and a historical review do not establish compatibility, successful reproduction, operator independence or current scientific correctness.

Source and permission context

Mondeel, Thierry D.G.A.; Ogundipe, Vivian; Westerhoff, Hans V.. [Re] Predicting metabolic biomarkers of human inborn errors of metabolism. ReScience 4(1), #4; 10.5281/zenodo.1254629.

Catalog listing reviewed. This review covers the description and source links displayed here.

ReScience/Zenodo metadata reviewed; exact CC-BY-4.0 evidence is manuscript-scoped.

Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.

manuscript · CC-BY-4.0

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