WORLD JOURNAL OF PHARMACY
AND MEDICAL SCIENCE

An International Peer-Reviewed Open Access Journal
Fast, Transparent Publication for Researchers in Pharmaceutical and Medical Sciences

ISSN:3049-3501




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ABSTRACT

PBPK MODELLING FOR PREDICTION OF DRUG -DRUG INTERACTION

Kajal Patel*, Shailendra Chauhan, Hemant Khambete, Sanjay Jain

In modern pharmaceuticals, Physiologically Based Pharmacokinetic (PBPK) modelling has emerged an essential technique used in the estimation of drug - drug interaction. The technique incorporates physiological, biochemical, and pharmacological informations to know the pharmacokinetics of the drugs in a virtual physiological system. It offers a superior alternative compared to other pharmacokinetic modeling techniques. There is an increasing use of PBPK models in estimating DDI, as it allows evaluation of how a drug interacts with the body in the absorption, metabolism, and elimination of other drugs. Such predictions enhance drug safety and optimize drug dosage without requiring many experiments. Pharmacokinetic models are currently supported by several software like Simcyp, GastroPlus, and PK-Sim, among others, and this has made PBPK modeling more accepted in regulatory processes during drug approvals. Still, there are various limitations associated with PBPK modeling such as lack of accurate data.

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