Publications by authors named "S Kollipara"

This report summarizes the proceedings for Day 3 of the workshop titled "". This day focused on the current and future drug product quality applications of PBBM from the innovator and generic industries as well as the regulatory agencies perspectives. The presentations, which included several case studies, covered the applications of PBBM in generic drug product development, applications of virtual bioequivalence trials to support formulation bridging and the utility of absorption modeling in clinical pharmacology assessments.

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Mesalamine is a locally acting anti-inflammatory drug used to treat mild to moderate ulcerative colitis. Because of complex formulation principle and high in vivo variability, development of bioequivalent formulation for mesalamine is challenging. Further, fed state possess significant challenges for bioequivalence (BE) due to interplay of multiple factors.

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Synthetic polymers have a distribution of chain lengths which can be characterized by dispersity, . Their macroscopic properties are influenced by chain mobility in the melt, and controlling can significantly impact these properties. In this work, we present a detailed study of the static and dynamic behavior of fully flexible polymer chains that follow the Schulz-Zimm molecular weight distribution up to = 2.

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Orally inhaled and nasal drug products (OINDPs) are complex due to the interplay between the device, formulation, and patient characteristics. Establishing bioequivalence (BE) of OINDPs with reference is highly complex and require in vitro, in vivo pharmacokinetic and comparative clinical endpoint studies that are challenging to conduct. In order to increase the rate of submission and approval of generics, regulatory agencies are encouraging the use of alternative in vitro and in silico methodologies to replace complex in vivo studies.

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Purpose: In silico modeling and simulation techniques such as physiologically based pharmacokinetic (PBPK) and physiologically based biopharmaceutics modeling (PBBM) have demonstrated various applications in drug discovery and development. Virtual bioequivalence leverages these computation tools to predict bioequivalence between reference and test formulations thereby demonstrating possibilities to reduce human studies. A pre-requisite for virtual bioequivalence is development of validated virtual population that depicts the same variability as that of observed in clinic.

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