SimBiology

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On running a NAC (non-compartmental analysis) with Simbiology, below message was seen. What does it meam? Everything looked good. "Unrecognized function or variable 'rec'."

Hello team, I am using command line sbiofit to fit my simbiology model with my experimental data by parameter estimation. In addition, after I got the fitting results, I know that I could simply plot the fitted results versus the original data by plot(fitResults); However, I would like to access the simulated results of my best fit to carry out NCA, but I could not find the results in the SimBiology.fit.OptimResults. Could you please show me a clue on how to get the piece of the simulated data? Thank you very much. Have a nice day. Best, Jesse

Non Compartmental Analysis (NCA) is easily performed in Simbiology for drug bolus. With the data imported and selected, selection of Define Plot then Open followed by NCA will directly give the the results of all standard NCA parameters. But suppose my drug is given by infusion, and I want to compute NCA, how to do it? To be more specific, there is no option to to add rate of infusion data in Simbiology during computation of NCA. I have attached a screenshot for better understanding. In the screenshot attached, as you can see there is no option for adding rate of infusion. In this case, is the drug infusion, I suppose is to be considered as drug bolus and then I have to compute NCA. Is this not wrong?

I was wonder that How does SimBiology calculate the "lambda" in NCA? When I use WinNonlin, I can choice the weighting option in linear regression (ex. unweighted, 1/y, 1/y^2). Although SimBiology doesn't provide the weighting option, I think that Simbiology uses any one of above. Thank you.

Compute non-compartmental parameters from observed data.

I can't seem to find the answer to my question in SimBiology's documentation. Does anyone know how Matlab calculates the non-compartmental AUC? Does it use the linear / log-linear trapezoidal rule? How many points does it use to extrapolate the curve to infinity? Does it use log or linear extension? Many thanks!