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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Model-Based Bioequivalence Approach: Robustness to Model Misspecification for Sparse Pharmacokinetic Bioequivalence Studies
Philipp, Morgane; Tessier, Adrien; Donnelly, Mark; Fang, Lucy; Feng, Kevin; Zhao, Liang; Grosser, Stella; Sun, Guoying; Sun, Wanjie; Mentre, France; Bertrand, Julie
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Development of a Database Containing Clinical Data on Bioequivalence and Relative Bioavailability Studies Conducted in Pediatric Populations
Pawar, Gopal; Wu, Fang; Zhao, Liang; Fang, Lanyan; Burckart, Gilbert; Feng, Kairui; Mousa, Yousef; Naumann, Franci; Batchelor, Hannah
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Population Pharmacokinetic/Pharmacodynamic (PKPD) Modeling for Long Acting Injectable(LAI) Products and Statistical Analysis for Bioequivalence(BE) Assessment
Paul, Prokash; Yoon, Seongkyu; Kim, Namjoon; Trunfio, Nicholas; Handelman, Garry; Kim, Jaeyeon
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Qualitative Analysis of Generic and Reference LAI Drug PK Profiles Using Multivariate Score Space
Paul, Prokash; Handelman, Garry; Kim, Jaeyeon; Yoon, Seongkyu
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Integration of Physicochemical Product Characteristics within a Mechanistic Dermal PBPK Model to Support Virtual Bioequivalence Evaluation of Topical Drug Products: A Case Study with Acyclovir Topical Creams
Martins, Frederico; Patel, Nikunjkumar; Salem, Farzaneh; Jamei, Masoud; Polak, Sebastian
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Mechanistic Modelling Of Dermal Drug Absorption Using The Simcyp Multi-Phase Multi-Layer Mechderma Model: Case Study Of A Transdermal Patch Formulation Of Weak Base Drug Timolol
Patel, Nikunjkumar; Cristea, Sinziana; Rose, Rachel; Salem, Farzaneh; Abduljalil, Khaled; Johnson, Trevor; Jamei, Masoud; Raney, Sam; Zhang, Xinyuan; Lin, Hopi; Newman, Bryan; Chow, Edwin; Ghosh, Priyanka; Fan, Jianghong; Fang, Lanyan; Polak, Se
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Towards Development And Validation Of The Dermal Pbpk Model For Virtual Bioequivalence -Model Description And Validation Case Studies
Patel, Nikunjkumar; Cristea, Sinziana; Polak, Sebastian
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The development of a novel measure for subject by formulation interaction
Pan, Lili; Lionberger, Robert; Zhao, Liang
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Exploring the Relationship of Drug BCS Classification, Food-Effect, and Gastric pH-Mediated Drug Interactions
Owens, Katie; Argon, Sophie; Yu, Jingliang; Ragueneau-Majlessi, Isabelle; Yang, Xinning; Wu, Fang; Lee, Sue Chih; Sun, Wei Jhe; Ramamoorthy, Anuradha; Zhang, Lei
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Modelling and Simulation of Corneocyte Swelling: A Theoretical Contribution on the Barrier Properties of the Skin
Nagel, Arne; Scherer, Martin; Wittum, Gabriel