Currently I am trying to use Simbiology to model a few sets of data. The PBPK model that I am using has 5 compartments with 3-4 species in each compartment. I've figured out how to use the sbionlinfit function and I do not have problems when I estimate parameters based on 'fake' data for individual species in the PBPK model. However, the data that I will obtain experimentally will be a bulk measurement, so it will be the sum of the species in each compartment. I've tried making this a parameter that is defined as a repeated assignment (i.e. compartment_total = species1+species2+… where compartment_total is a parameter), but when I try fitting data using this the estimations are nonsensical. Is there a better way to define a parameter so that it is a function of several species in the model, or is this possible with simbiology?

# MATLAB: Using Simbiology to estimate parameters based on several variables/rules

SimBiologysimbiology parameter estimation

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