Incorporating such curricula would benefit students since such concepts are the pinnacle in large molecule drug applications, also known as biotherapeutics. Formulation design of biomolecular drugs cannot be done without understanding protein-protein interaction , excipient-protein interactions (Hribar-Lee, 2022; , and more. Some prior studies implemented computational tools for enhancing STEM student curricula. For example, computer simulations have been applied to teach cellular metabolism and dynamic mechanisms in signaling pathways . Moreover, computational methods have been implemented to teach molecular modeling and drug design. Clauss and Nelson described the importance of integrating molecular modeling into introductory and intermediate-level organic chemistry courses . They proposed a curriculum for each unit, such as different types of organic reactions, and the plan to revise the curriculum each semester. The authors mentioned that this integration aims to use modeling more generally across the curriculum and help build skill and familiarity from the basics of organic chemistry. In another article, Bain et al. used custom-made 3D physical models such as α-helices and β-sheets, the zinc finger moiety, β-globin, and green fluorescent protein to help students understand the different structures of biomolecules . These models are advantageous because students could manipulate different backbones and side chains or recognize different features using different colors that they could not do with 2D images. The students were assessed before and after the activity on the same concepts, and the scores significantly improved on the post-test.