scientific-metabolic-flux

To estimate metabolic flux from 13C isotope tracing data, the Skill applies an EMU network simulation and least-squares fitting to your mass isotopomer distribution (MID) measurements. This process maps quantitative pathway fluxes across metabolic networks.

The best way to correct natural abundance in MID data is through built-in natural abundance correction and MID normalization. This produces reliable, normalized inputs required for accurate EMU-based flux modeling and subsequent analysis.

You can integrate flux-balance analysis with EMU modeling by running the metabolic flux pipeline on your stable-isotope tracer data. The framework combines EMU network simulation with FBA integration to quantify and map metabolic fluxes.

Yes, you can use BiGG Models for reference metabolic models in flux estimation. The Skill includes BiGG Models integration to provide contextual interpretation and reference frameworks for your 13C/15N tracer experiments.

Yes, this approach fully supports 15N tracer experiments for metabolic flux mapping. It handles both 13C and 15N MID data within the EMU modeling framework to estimate and map pathway fluxes in systems biology.

To export metabolic flux estimation results to CSV, the Skill automatically generates exportable outputs after completing the least-squares flux estimation. This allows you to directly save and utilize the mapped flux results for downstream analysis.