Figure 1
From: Predicting outcomes of steady-state 13C isotope tracing experiments using Monte Carlo sampling
Isotopomer Overview. a) definition of the network, including carbon fates b) isotopomer balance equations - solving these equations yields the Isotopomer Distribution Vector (IDV) c) experimental data are compared to computed Mass Distribution Vectors (MDV) yielding experimental fit. d) two types of possible computations - the forward computation uses a flux distribution as input to compute the MDV, while the inverse problem attempts to find the flux distribution that minimizes the experimental discrepancy.