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计算机辅助药物发现跨学科课程,以拓宽学生参与原创科学研究的范围。

An interdisciplinary course on computer-aided drug discovery to broaden student participation in original scientific research.

机构信息

Department of Biological Science, LSU Shreveport, One University Place, Shreveport, Louisiana, USA.

Department of Chemistry & Physics, LSU Shreveport, One University Place, Shreveport, Louisiana, USA.

出版信息

Biochem Mol Biol Educ. 2024 May-Jun;52(3):276-290. doi: 10.1002/bmb.21811. Epub 2024 Feb 3.

Abstract

We present a new highly interdisciplinary project-based course in computer aided drug discovery (CADD). This course was developed in response to a call for alternative pedagogical approaches during the COVID-19 pandemic, which caused the cancellation of a face-to-face summer research program sponsored by the Louisiana Biomedical Research Network (LBRN). The course integrates guided research and educational experiences for chemistry, biology, and computer science students. We implement research-based methods with publicly available tools in bioinformatics and molecular modeling to identify and prioritize promising antiviral drug candidates for COVID-19. The purpose of this course is three-fold: I. Implement an active learning and inclusive pedagogy that fosters student engagement and research mindset; II. Develop student interdisciplinary research skills that are highly beneficial in a broader scientific context; III. Demonstrate that pedagogical shifts (initially incurred during the COVID-19 pandemic) can furnish longer-term instructional benefits. The course, which has now been successfully taught a total of five times, incorporates four modules, including lectures/discussions, live demos, inquiry-based assignments, and science communication.

摘要

我们提出了一个新的高度跨学科的基于项目的计算机辅助药物发现 (CADD) 课程。该课程是为应对 COVID-19 大流行期间对替代教学方法的呼吁而开发的,COVID-19 大流行导致路易斯安那州生物医学研究网络 (LBRN) 赞助的面对面暑期研究计划被取消。该课程为化学、生物学和计算机科学的学生整合了指导性研究和教育经验。我们采用基于研究的方法和生物信息学和分子建模中的公共可用工具来识别和优先考虑有希望的 COVID-19 抗病毒药物候选物。本课程的目的有三:I. 实施积极的学习和包容性教学法,促进学生的参与和研究思维;II. 培养学生的跨学科研究技能,这在更广泛的科学背景下非常有益;III. 证明教学转变(最初是在 COVID-19 大流行期间发生的)可以提供更长期的教学效益。该课程现已成功教授了总共五次,包括四个模块,包括讲座/讨论、现场演示、基于探究的作业和科学交流。

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