SimBiology

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Identification of model (one compartment, two compartments or three compartments) which a drug follows is an important step before population pharmacokinetic modeling. I am aware that the graph between the concentration vs time, gives an idea of the number of compartment a drug follows. But is there a standard way to explore and determine the number of compartment a drug follows in a more objective manner. This would also be helpful to determine the model in which the data needs to be fit. In addition, a note on determining the order of reaction is also welcomed and would make the discussion complete. In Simbiology, is there a standard way to identify the number of compartment a drug follows? Praveen, The model selection is often driven primarily by visualization of data (as you mentioned in your post) and accounting any prior information (if available). In many cases, it is difficult to get clear indication of whether your data follows 2-cmpartment or 1-cmpartment model etc. In these situation, one should try to evaluate both model and compate fits. You can also use AIC/BIC criteria for model selection. I am not aware of any automated tool to compare the model fits in simbiology. It may be useful to have such feature (example one that is available in Phoenix) which can allow to objective function with both model fits, covariate information and GOF plots. SimBiology has a task data comparison tool that allows you to compare different fits (make sure the fits are each saved as task results!) by AIC, BIC, loglikelihood etc., see the screenshots below. <</matlabcentral/discussions/uploaded_files/90/Task%20data%20comparison.png>> <</matlabcentral/discussions/uploaded_files/89/Capture.PNG>> Dear Sietse Braakman, Yes, I use task data comparison for selecting the compartment and for selection of optimization algorithms. Thanks for the guidance. Regards. simbiology population pharmacokinetics pharmacokinetics pharmacology compartment

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?

On using Simbiology, I am realizing how wonderful it is! It is equivalent and infact better than much commercial software available in the market for hefty prices (not to name anyone in purpose). Moreover, the product is backed up by the world leaders in software engineering - *MATLAB* (which gives more confidence to the product). It would be very helpful if someone can share the list or some of the PubMed indexed publication on *population pharmacokinetics* in which Simbiology is utilized for modeling and computation. Can you share some of the PubMed indexed publication made utilizing Simbiology on population pharmacokinetics simbiology population pharmacokinetics pharmacology publication pubmed scientific evidence