Abstract
To improve the teaching-learning process in the Medicinal Chemistry course, new strategies have been incorporated into practical classes of this fundamental discipline of the pharmaceutical curriculum. Many changes and improvements have been made in the area of medicinal chemistry so far, and students should be prepared for these new approaches with the use of technological resources in this field. Practical activities using computational techniques have been directed to the evaluation of chemical and physicochemical properties that affect the pharmacokinetics of drugs. Their objectives were to allow students to know these tools, to learn how to access them, to search for the structures of drugs and to analyze results. To the best of our knowledge, this is the first study in Brazil to demonstrate the use of computational practices in teaching pharmacokinetics. Practical classes using Osiris and Molinspiration were attractive to students, who developed the activities easily and acquired better theoretical knowledge.
Highlights
To improve the teaching-learning process in the Medicinal Chemistry course, new strategies have been incorporated into practical classes of this fundamental discipline of the pharmaceutical curriculum
Many changes and improvements have marked the area of medicinal chemistry so far, so it is important that students be prepared for these new approaches in this field and for the use of
One of the topics discussed in the Medicinal Chemistry classes is that high oral bioavailability is an important factor for the optimization of bioactive molecules as therapeutic agents
Summary
To improve the teaching-learning process in the Medicinal Chemistry course, new strategies have been incorporated into practical classes of this fundamental discipline of the pharmaceutical curriculum. Many changes and improvements have marked the area of medicinal chemistry so far, so it is important that students be prepared for these new approaches in this field and for the use of. Brito use other educational institutions might implement. In this study we demonstrate the use and applications of computational tools that facilitate the learning of Lipinski’s rule of five (Ro5) and other pharmacokinetic concepts
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