Work

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

Year: 2025

Type: article

Abstract: 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, in silico -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.

Source: Journal of Microbiology and Biology Education

DOI: 10.1128/jmbe.00223-24

Author: Adi Idris

Institution: Queensland University of Technology

Language: English

Topic: Genetics, Bioinformatics, and Biomedical Research

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,700