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

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
Journal of Microbiology & Biology Education Pub Date : 2025-08-21 Epub Date: 2025-04-23 DOI:10.1128/jmbe.00223-24
Adi Idris
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引用次数: 0

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.

Abstract Image

使用生成式人工智能工具设计基于rna的抗病毒治疗方法用于本科病毒学实验室教学。
自从大流行后引入mRNA疫苗以来,RNA药物在药物开发界掀起了一股风暴。随着这一领域以前所未有的速度迅速发展,高等教育机构在包括本科生在内的各级教学中跟上这一步伐至关重要。与此同时,将快速变化的人工智能(AI)景观嵌入本科教学和学习的必要性也至关重要。在这里,我开发了一个简洁但信息丰富的基于硅的实验室活动,使用称为Biomod AI (https://biomodai.com)的生成人工智能工具来设计基于rna的药物。这项活动是为本科生设计的,旨在让他们掌握独特的人工智能驱动的RNA药物设计方法。据我所知,这是第一次在本科教学中使用生成式人工智能来设计RNA药物。
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来源期刊
Journal of Microbiology & Biology Education
Journal of Microbiology & Biology Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.00
自引率
26.30%
发文量
95
审稿时长
22 weeks
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