GDUFA Research Outcomes
Quantitative Methods & Models
The Generic Drug User Fee Amendments (GDUFA) science and research program facilitates patient access to high-quality generic drugs by advancing research in areas where generic product development has been limited or prevented due to knowledge gaps about the kind of evidence needed to demonstrate that a generic product is the same as its brand name reference listed drug product. Leaders and experts across the generic industry collaborate to establish GDUFA research priorities for the most pressing scientific challenges they face with generic product development. Scientists and clinicians from industry, academia, and the U.S. Food and Drug Administration (FDA) strategically design research in these areas so that the outcomes help to build scientific bridges across the knowledge gaps, thereby facilitating pharmaceutical manufacturers to develop generic drugs that were previously challenging or unfeasible to develop.
A major GDUFA science and research priority is to facilitate the utility of model-integrated evidence (MIE) to support demonstrations of bioequivalence (BE). The advancement of research in this area focuses on developing tools and advancing approaches to integrate complementary in silico (modeling), in vivo, and in vitro evidence in ways that collectively mitigate the risk of failure modes for BE and support a framework for virtual BE studies. For example, while it may not be feasible to adequately characterize the long-term bioavailability of drugs from LAI products using in vivo or in vitro methods alone, it may be feasible to integrate limited in vivo and in vitro data with PBPK models that generate the remaining evidence needed to support a demonstration of BE. This area includes research on the use of MIE to evaluate failure modes for BE and to optimize the design of BE studies.
Outcomes including scientific publications, presentations, and posters arising from GDUFA-funded research in this priority area are available in this section.
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Evaluating Influence Of Critical Quality Attributes Of Metronidazole Topical Gel On Bioequivalence Using The Dermal Virtual Bioequivalence (VBE) Module In Simcyp Simulator
Telaprolu, K C; Arora, S; Clarke, J; Dancik, Y; Tsakalozou, E; Ghosh, P; Alam, K; Roberts, M S; Polak, S
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Modeling In Vitro and In Vivo Human Skin Permeation of Eutectic Mixtures of Local Anesthetics Using PBPK Modeling: Development of Dermal IVIVE for Lidocaine 2.5% w/w and Prilocaine 2.5% w/w Cream (EMLA� Cream)
Telaprolu, K; Polak, S; Tsakalozou, Eleftheria; Ghosh, Priyanka; Alam, Khondoker; Dabbaghi, M; Namjoshi, S; Mohammed, Y; Grice, J; Roberts, M
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Evaluation of Model-Based Bioequivalence approach for one single sample pharmacokinetic studies
Tardivon, Coralie; Loingeville, Florence; Sharan, Satish; Donnelly, Mark; Feng, Kairui; Sun, Wanjie; Sun, Guoying; Grosser, Stella; Zhao, Liang; Fang, Lanyan; Mentre, France; Bertrand, Julie
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A User Friendly Platform To Simulate And Assess Generic Drug Pharmacokinetics
Cribari, Kelsey
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Steps Towards Microscopic Simulations Of Skin Penetration
Sontak, E; Holmes, A; Pastore, M; Studier, H; Abd, E; Grice, J; Roberts, M; Brandner, J; Heisig, M; Nagel, A; Wittum, G
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Development of In Vitro-In Vivo Correlation for Long Acting Injectible Microsphere Formulations
Shahraz, Azar; Mullin, James; Lukacova, Viera; Bolger, Michael; Woltosz, Walt
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A Physiologically-Based Pharmacokinetic Model to Estimate Absorption and Bioavailability of Corticosteroid Nasal Sprays
Schroeter, J; Rose, M; Kimbell, J; Chopski, S; Walenga, R
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Effect of Polydispersity on PBPK Model Simulations of Intranasal Corticosteroid Sprays
Schroeter, Jeffrey; Rose, Morgan; Kimbell, Julia; Chopski, Steven; Walenga, Ross
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A Physiologically-Based Pharmacokinetic Model Framework To Estimate Systemic Bioavailability Of Fluticasone Propionate Nasal Spray
Schroeter, Jeffry; Stricklin, Daniela; Kimbell, Julia; Delvadia, Renishkumar; Zhang, Xinyuan
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A CFD-PBPK Model to Simulate Nasal Absorption and Systemic Bioavailability of Intranasal Fluticasone Propionate
Schroeter, Jeffry; Kimbell, Julia; Walenga, Ross; Babiskin, Andrew; Delvadia, Renishkumar