Parameter Estimation and Identifiability in Kinetic Flux Profiling Models of Metabolism
Breanna Guppy, Colleen Mitchell, Eric B Taylor · 2024
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Description
Breanna Guppy, Colleen Mitchell, and Eric Taylor work out when metabolic flux values can actually be pinned down from isotope tracing data, in a 2024 paper. Fluxes, the rates of a cell's chemical reactions, shift in disease, and kinetic flux profiling estimates them by fitting a model to labeling measurements over time. The authors first generalize how pathway diagrams become equation systems.
They then ask whether flux parameters are identifiable from steady-state data alone, and give conditions for trustworthy estimates when fast and slow processes separate widely. Bayesian fitting on simulated experiments, with both one-way and reversible steps, tests the criteria in practice.
Catalog record
| CREATOR | Breanna Guppy, Colleen Mitchell, Eric B Taylor |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 74 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |