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Abstract

Background: This thesis explores the pharmaceutical model physiologically based pharmacokinetics (PBPK) further and focuses on the basics of parameters used for the software tools to develop new drugs on the market today. Further reflects on what drug companies place their importance on when developing a new drug and why, by focusing on 29 different drugs and the parameters provided by the PBPK-model.

Aim: To examine and compare 29 drugs, by focusing on comparing and evaluating administration route, formulation, elimination route, including metabolizing enzymes and parameters. These 4 focus points are a way to examine and reflect on what drug companies focus on when producing a new drug and their importance as to why they focus on what they do.

Methods: Information on 29 drugs was collected from the PBPK model library in the Open system pharmacology file provided by the pharmacokinetic department of Uppsala University. Answering 9 points and then sorting and organizing the collected information with google sheets, making graphs and charts to present the result.

Results: The most common administration route when creating PBPK-models was oral administration, the second most common was both oral and IV administration. The most common formulation was tablet, second most common was IV. The most common elimination route was trough the liver, with the help of enzymes. The most common one being enzyme CYP3A4, second was CYP2C19, and then CYP2C9. The most common and recurring parameters in order were lipophilicity, specific intestinal permeability, dissolution shape, specific intestinal permeability (trancellural), dissolution time (50% dissolved) and solubility at referenced pH.

Conclusions: The result showed that the 4 focus points in the aim had a common thread and had reasonable results. They accurately reflected the drug companies' reasoning for producing and designing the drugs the way they did, such as being convenient and easy to take, adapted to the body’s physiology and being safe. The result showed the parameters as the most interesting section and formulation route a bit weaker and contributing to uncertain results for its section.