Justine in MATLAB Answers
最後のアクティビティ: 2025 年 6 月 16 日

Hello, I have a simbiology PBPK model, to which I successfully fit several organ data (liver, kidneys, spleen, blood, ...) simulatenously using the proportional error model. I would like now to switch to numeric weights (1/SD²) for the error model to account for the experimental variability in the model, as I have concentrations and SDs data for each compartment/organ. My data is now formatted in a "wide" format: time points in rows, organ concentrations as columns. I've done some tests on a two-compartment model (GI + Central), based on the example bioavailabilty.sbproj file to remove complexity and enable quick testing of the approach: I managed to implement the numeric weights when fitting only one compartment, by adding a column SD (and even Weights) to the dataset (see files beginning with "fit1comp_"). However when fitting data of two compartments and keeping the wide format of the data, with then Conc_Central, Conc_GI, SD_Central and SD_GI columns, this approach doesn't seem to work because of the multi-column format of the Weights (see files beginning with "fit2comp_wide_"). I also tried to have data in a "long" format, with Time, Conc, SD and Group as columns, where the groups represent my compartment (central, GI). However when mapping the responses, I didn't manage to assign properly the Blood_Plasma.Drug_Central and GI_Compartment.Drug_Oral to the groups in the model analyzer application. The group-specific properties seem only to be variants and doses and not response. I understood from the documentation this groupping is mostly foreseen to map different individuals for the same type of response, so I am not sure how this can be implemented. Do you have any advice on how to implement the mutli-compartment fit with numeric weights? Thanks in advance! Best regards