FInding parameters using both Experimental and Validation data

[krutik patel]

Dear Copasi forum,

I am attempting to fit data to both experimental and validation data. Individually, both data sets can fit well to the model, however when I try to run both together, the model really struggles. 

Let me give more context about the model. 

It is a relatively small model with only 10 species and 24 reactions. This model has an event. Ideally when this event is triggered, it will produce something similar to the validation data. I am getting the correct trends but we want to go further.

The model is calibrated to the experimental data, and then the validation data was added. 

The mode is capable of fitting each dataset individually.

However, when both data sets are selected and I run parameter estimations, Copasi does not do well with this and ends parameter estimating very abruptly. 

I have tried running parameter estimations with the event on and off, but still Copasi struggles to perfrom parameter estimations.

I may be missing something, could I get advice on other things to try?  

Kind Regards,

Krutik