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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Development Of An In Vitro Mechanistic Model That Describes Drug Release From Risperidone Long-Acting Injectable Microspheres
Mullin, James; Lukacova, Viera; Woltosz, Walter; Bolger, Michael
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Simulation of in vitro Dissolution and Degradation of Orntide-loaded PLGA Microspheres
Mullin, James; Van Osdol, William; Lukacova, Viera; Woltosz, Walter; Bolger, Michael
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Determination of CYP2D6 Phenotyping for Metoprolol using the Genotype-derived Activity Score
Mosley, Scott; Frye, Reginald; Langaee, Taimour; Schmidt, Siegfried; Schmidt, Stephen; Gong, Yan; Binkley, Philip; Johnson, Julie; Cavallari, Larisa
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Using a Physiologically-based Pharmacokinetic Absorption Model for Biopharmaceutics to Establish Clinically Relevant Dissolution Safe Space for Oseltamivir in Adult and Pediatric Populations
Miao, Lei; Wu, Fang; Zhao, Liang; Raines, Kimberly; Seo, Paul
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Application of Dissolution Profile Comparison for Gastric pH-Dependent Drug-Drug Interaction Prediction
Miao, Lei; Wu, Fang; Yang, Xinning; Ramamoorthy, Anuradha; Lee, Sue-Chih; Raines, Kimberly; Zhang, Lei; Seo, Paul
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Cellular Pharmacokinetic/Pharmacodynamic Of Doxorubicin In A Wide Array Of Cell Lines.
LeMerdy, Maxime; Hendriks, Bart; Cao, Yanguang
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Multi-phase Multi-layer MechDermA model: Development, Verification and Application of a PBPK-PD Model of Dermal Absorption for Transdermal Product Assessment
Martins, Frederico; Patel, Nikunjkumar; Salem, Farzaneh; Jamei, Masoud; Polak, Sebastian
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Mechanistic Physiologically-Based Pharmacokinetic Modelling for Prediction of Dermal Absorption in Psoriatic Patients
Martins, Frederico; Patel, Nikunjkumar; Jamei, Masoud; Polak, Sebastian
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Multi-phase Multi-layer MechDermA model: Development, Verification and Application of a PBPK-PD Model of Dermal Absorption for Transdermal Product Assessment
Polak, Sebastian; Patel, Nikunjkumar; Martins, Frederico; Salem, Farzaneh; Jamei, Masoud; Rostami-Hodjegan, Amin
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Development And Validation Of Dermal Pbpk Model Towards Virtual Bioequivalence Assessment: Prediction Of Dermal Drug Absorption Of Various Ibuprofen Formulations Using Simcyp MechdermA model
Martins, Frederico; Patel, Nikunjkumar; Cristea, Sinziana; Polak, Sebastian