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

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Title: An interdisciplinary course on computer‐aided drug discovery to broaden student participation in original scientific research.
Authors: Stratton, Christopher1 (AUTHOR), Christensen, Avery1 (AUTHOR), Jordan, Chelsey1 (AUTHOR), Salvatore, Brian A.2 (AUTHOR), Mahdavian, Elahe1 (AUTHOR) elahe.mahdavian@lsus.edu
Source: Biochemistry & Molecular Biology Education. May2024, Vol. 52 Issue 3, p276-290. 15p.
Subject Terms: *Scientific communication, *COVID-19 pandemic, *Student participation, Drug discovery, Medical research
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. [ABSTRACT FROM AUTHOR]
Copyright of Biochemistry & Molecular Biology Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An interdisciplinary course on computer‐aided drug discovery to broaden student participation in original scientific research.
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  Data: <searchLink fieldCode="AR" term="%22Stratton%2C+Christopher%22">Stratton, Christopher</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Christensen%2C+Avery%22">Christensen, Avery</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jordan%2C+Chelsey%22">Jordan, Chelsey</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salvatore%2C+Brian+A%2E%22">Salvatore, Brian A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mahdavian%2C+Elahe%22">Mahdavian, Elahe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> elahe.mahdavian@lsus.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Biochemistry+%26+Molecular+Biology+Education%22">Biochemistry & Molecular Biology Education</searchLink>. May2024, Vol. 52 Issue 3, p276-290. 15p.
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  Data: *<searchLink fieldCode="DE" term="%22Scientific+communication%22">Scientific communication</searchLink><br />*<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+participation%22">Student participation</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+discovery%22">Drug discovery</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Biochemistry & Molecular Biology Education is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1002/bmb.21811
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      – Code: eng
        Text: English
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        PageCount: 15
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      – SubjectFull: Scientific communication
        Type: general
      – SubjectFull: COVID-19 pandemic
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      – SubjectFull: Student participation
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      – SubjectFull: Drug discovery
        Type: general
      – SubjectFull: Medical research
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            NameFull: Stratton, Christopher
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            NameFull: Christensen, Avery
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            NameFull: Jordan, Chelsey
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            NameFull: Salvatore, Brian A.
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            NameFull: Mahdavian, Elahe
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              M: 05
              Text: May2024
              Type: published
              Y: 2024
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