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I have a dataset that contains one independent variable, time and four dependent concentration variables. These are kinetic traces. Two of these variables are titrated concentrations that change from one trace to the next. I would like to fit the entire dataset to my model however Simbiology does not allow datasets where the independent variable increases non monotonically. How do I fit the entire dataset globally? Attached is a 3D plot of the different traces. I would like to create surface with my model on it. Is this possible in simbiology. I suppose if I get the parameters I can do it manually using meshgrid and surf. However the parameters need to come from a global fit. There are no analytical solutions to the 6 set of coupled ODEs. It has to be done numerically. I have also attached the dataset.

Dear Simbiology community, I got confused about summing up two species concentration in simbiology. In my dataset, I have a column named "ACRG", which represents experimental values of a biomarker. However, in my model, I have defined two species (ACRG1 and ACRG2) relevant to this biomarker. From the algebraic view, "ACRG"=Concentration of ACRG1+concentration of ACRG2. When I do the model fitting and would like to get the model parameter estimation, how could I let the software know it should estimate the sum of those two species concentration value as the "ACRG" in my dataset? Many thanks if someone could provide the answer in detail. YZ

Dear Simbiology community, I got 1 problem when I tried to fit data in simbiology. I am doing a population model fitting. I have 1 column called "body weight" in my dataset. In that case, one parameter called 'AC' in my model could have different values for different IDs (subjects) (AC=BC*body weight). How could I let simbiology know this parameter 'AC' could change for different IDs? Should I revise my dataset or add parameters in my model? I appreciate if someone could provide answers in detail. Thanks in advance! YZ