Human Pharmacokinetics Prediction

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چکیده

Drug development is very time consuming and costly process. Only few candidates enters in to clinical trials can eventually become a drug. Accurate prediction of the right dose before entering in to clinical study can reduce time as well as cost of drug discovery process. Pharmacokinetic plays an essential role in the selecting the right dose and dosage regimen [1-5]. Thus early prediction of human pharmacokinetic based on animal and in-vitro data is the challenging task for the scientist. Predictions of human pharmacokinetic parameters include the clearance, volume of distribution, half-life, bioavailability, effective dose and dosage regimen, plasma concentration time profile; inter individual variability and drug-drug interaction. There are numerous methodologies available in the literature for human prediction. Most widely used methods are the Invitro In-vivo Extrapolation (IVIVE), allometric scaling and Physiologically Based Pharmacokinetic modeling (PBPK) [6-8]. Best results in the prediction can be obtained by applying one or two methods in a combination.

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تاریخ انتشار 2016