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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PBPK Modeling to Predict the Effect of Gastric pH on Bioequivalence of Dabigatran Etexilate Capsules
Pal, Arindom; Mousa, Youssef; Fang, Lanyan; Zhao, Liang; Wu, Fang
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Model-Integrated Bioequivalence Method for Highly Variable Drugs with Long Half-Life: a Simulation Study Comparing Complete Washout and Incomplete Washout Designs
Huang, Zhe; Chen, Xiaomei; Donnelly, Mark; Fang, Lanyan; Zhao, Liang; Karlsson, Mats O; Hooker, AC
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Enhanced PBPK-Based In Vitro to In Vivo Extrapolation Method to Support the Development of Pulmonary Drug Products
Mullin, J M; Le Merdy, Maxime; Chopski, Steven; Walenga, Ross; Bielski, Elizabeth; Boc, Susan; Clerman, Andrew; Newman, Bryan; Pineiro-Llanes, Janny; Eltanameli, Bassma; Cristofoletti, R
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Assessment of Repeated Crossover Bioequivalence Design Under Steady State Conditions
Zhang, Peijue; Donnelly, Mark; Feng, Kairui; Gong, Yuqing; Liu, Xiaolei; Babiskin, Andrew
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Development of Graphical Interface in R Shiny for PBPK Model-based Prediction and Simulation of Drug Delivery in the Female Reproductive Tract
Straubinger, Thomas; Li, Xinnong; Valicherla, Guru R; Zhang, Zhongfang; Achilles, Sharon L; Donnelly, Mark; Zhao, Liang; Tsakalozou, Eleftheria; Chen, Beatrice A; Rohan, Lisa C; Bies, Robert
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Topical Product Metamorphosis: Impact on Metronidazole In Vitro Skin Permeation Post-Application of Binary Mixture Formulations
Sharkawy, Asma; Williams, Adrian; Bunge, Annette; Guy, Richard; Ghosh, Priyanka; Van Osdol, William; Novakovic, Jasmina; Pettarin, Maximo; Spires, Jessica; Le Merdy, Maxime; Tsakalozou, Eleftheria; Delgado-Charro, M B
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Sensitivity of Charcoal Block PK Metrics to Differences in Regional Deposition for Budesonide and Formoterol Fumarate Dihydrate
Walenga, Ross; Tsakalozou, Eleftheria; Chopski, Steven; Fang, Lanyan; Zhao, Liang
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Performance of Machine Learning Algorithms for Model Selection
Li, Xinnong; Sale, Mark; Nieforth, Keith; Craig, James; Wang, Fenggong; Solit, David; Feng, Kairui; Hu, Meng; Bies, Robert; Zhao, Liang
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Dermal PBPK Model for Psoriatic Skin: Clobetasol Propionate Case Study
Novakovic, Jasmina; Van Osdol, WW; Spires, J; Le Merdy, M; Tsakalozou, E; Ghosh, P; Lukacova, Viera
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Mechanistic Model of In Vitro Intraoral Absorption of Buprenorphine for the Buccal and Gingival Mucosa
Kalra, Priyata; Lukacova, Viera; Dwivedi, Pankaj; Alam, Khondoker; Tsakalozou, E; Pauletti, Giovanni; Zhou, Haiying