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◆ Currents in pharmacy teaching & learning2026-08-06

Integrating in silico modeling into undergraduate education to enhance students competency in biopharmaceutics and pharmacokinetics.

Asma El-Magboub, Fatma Hassan, Marah Yousif, Marwa Mohamud, Alham Abuatiq

一句话结论 · In one sentence

This case report demonstrates the feasibility of integrating computational modeling into an undergraduate biopharmaceutics and pharmacokinetics course through a structured, project-based educational framework. The module provides a practical approach for incorporating PBPK, PBBM, and related computational methodologies into pharmacy curricula. Future studies using controlled educational designs and direct assessment of learning outcomes are needed to evaluate the educational impact of this approach.

原始摘要(英文原文)· Original abstract
OBJECTIVES: Pharmacokinetics and biopharmaceutics are core components of pharmacy education, providing the scientific foundation for drug development and therapeutic application. This case report describes the design, implementation, and feasibility evaluation of an integrated in silico educational module within an undergraduate Biopharmaceutics and Pharmacokinetics course. METHODS: The module was implemented across four course offerings in a third-year Bachelor of Pharmacy Technology program. Students completed a semester-long project using GastroPlus®, ADMET Predictor®, and DDDPlus® (Simulation Plus, Inc.) through sequential activities involving molecule selection, physiologically-based pharmacokinetic (PBPK) and physiologically-based biopharmaceutics modeling (PBBM) simulations, physicochemical property prediction, dissolution modeling, and scientific communication through poster preparation and presentation. Implementation was evaluated using student performance data and alignment with the Seven Principles for Good Practice in Undergraduate Education. RESULTS: The module was implemented across four cohorts involving 79 undergraduate students. Mean project grades ranged from 94.95 ± 2.56% to 98.66 ± 1.21%, while mean overall course grades ranged from 89.18 ± 5.08% to 91.60 ± 4.32%. The instructional design demonstrated alignment with established educational principles through active learning, student-faculty interaction, timely feedback, sustained engagement, clear expectations, and authentic scientific communication activities. CONCLUSION: This case report demonstrates the feasibility of integrating computational modeling into an undergraduate biopharmaceutics and pharmacokinetics course through a structured, project-based educational framework. The module provides a practical approach for incorporating PBPK, PBBM, and related computational methodologies into pharmacy curricula. Future studies using controlled educational designs and direct assessment of learning outcomes are needed to evaluate the educational impact of this approach.
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Integrating in silico modeling into undergraduate education to enhance students competency in biopharmaceutics and pharmacokinetics. — 科研速览 Science Skim