Use of a generative AI tool to design RNA-based antiviral therapeutics for undergraduate virology laboratory teaching

RNA medicines have taken the drug development world by storm since the introduction of mRNA vaccines post-pandemic. As this field is rapidly evolving at an unprecedented speed, it is crucial that higher education institutions keep up with this at all levels of teaching, including at the undergraduate level. In parallel, the necessity of embedding the fast-changing artificial intelligence (AI) landscape in undergraduate teaching and learning is also crucial. Here, I have developed a succinct but informative, <i>in silico</i>-based laboratory activity using a generative AI tool called Biomod AI (https://biomodai.com) for designing RNA-based drugs. This activity was designed for undergraduate level students to equip them with a unique AI-driven RNA drug design methodology. To my knowledge, this is the first use of generative AI for designing RNA drugs in undergraduate teaching.

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Publication Details

Journal
Journal of Microbiology and Biology Education
Published
2025-04-23
DOI
https://doi.org/10.1128/jmbe.00223-24
Citations
4
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
2.70
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article

Use of a generative AI tool to design RNA-based antiviral therapeutics for undergraduate virology laboratory teaching

Adi Idris
4 citations
Journal of Microbiology and Biology Education
Biomedical and Engineering Education
2.70
article

Use of a generative AI tool to design RNA-based antiviral therapeutics for undergraduate virology laboratory teaching

Adi Idris
article en
4 citations

Abstract

RNA medicines have taken the drug development world by storm since the introduction of mRNA vaccines post-pandemic. As this field is rapidly evolving at an unprecedented speed, it is crucial that higher education institutions keep up with this at all levels of teaching, including at the undergraduate level. In parallel, the necessity of embedding the fast-changing artificial intelligence (AI) landscape in undergraduate teaching and learning is also crucial. Here, I have developed a succinct but informative, <i>in silico</i>-based laboratory activity using a generative AI tool called Biomod AI (https://biomodai.com) for designing RNA-based drugs. This activity was designed for undergraduate level students to equip them with a unique AI-driven RNA drug design methodology. To my knowledge, this is the first use of generative AI for designing RNA drugs in undergraduate teaching.

Journal of Microbiology and Biology EducationVol. 26(2)
Queensland University of Technology (AU)
Good health and well-being
Openalex Percentile: Top 11%
Biomedical and Engineering Education
2.70
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