O'Donnell Lauren A, Meng Wilson S, Andrick Benjamin J, Borello Alexa M
Mylan School of Pharmacy, Duquesne University, Pittsburgh, Pennsylvania.
Am J Pharm Educ. 2016 Nov 25;80(9):147. doi: 10.5688/ajpe809147.
To design and implement a bioinformatics exercise that applies immunological principles to predicting rejection of protein drugs based upon patient genotype. Doctor of pharmacy (PharmD) students used the Immune Epitope Database, a freely available bioinformatics tool. Over a 2-week laboratory, students interrogated whether a protein drug would be predicted to induce an immune response based upon patient genotype. Results were presented at the last laboratory session, and students completed reports discussing their findings. Pre-lab quizzes and a final report were graded. Students answered questionnaires assessing perceived learning gains. To determine the impact on student understanding of immunity against protein drugs, the quality of student data analysis and comparisons to class data were graded. Independent measures of student learning demonstrated that students developed a greater understanding of how patient genotype could contribute to treatment failure with protein drugs. This study indicates that questions related to clinical immunology can be posed using bioinformatics tools.
设计并实施一项生物信息学练习，该练习应用免疫学原理，根据患者基因型预测蛋白质药物的排斥反应。药学博士（PharmD）学生使用了免疫表位数据库，这是一个免费的生物信息学工具。在为期两周的实验课上，学生们根据患者基因型探究一种蛋白质药物是否会被预测引发免疫反应。结果在最后一次实验课上进行了展示，学生们完成了讨论其发现的报告。课前测验和最终报告都进行了评分。学生们回答了评估感知学习收获的问卷。为了确定对学生理解针对蛋白质药物的免疫的影响，对学生数据分析的质量以及与班级数据的比较进行了评分。对学生学习的独立测量表明，学生们对患者基因型如何导致蛋白质药物治疗失败有了更深入的理解。这项研究表明，可以使用生物信息学工具提出与临床免疫学相关的问题。
