通过优化5' UTR序列,通过区分和生成人工智能提高mRNA翻译效率
Yu Liu1, Chunmei Cui1, Limei Liu2
1Department of Biomedical Informatics, State Key Laboratory of Vascular Homeostasis and Remodeling, School of Basic Medical Sciences, Peking University, 38 Xueyuan Road, Beijing 100191, China.
iScience
|October 10, 2025
概括
UTailoR是一种新的AI工具,可以优化5'未翻译区域 (UTR) 序列的信使RNA (mRNA),以提高翻译效率. 这种计算框架显著增强了mRNA疗法,如mRNA疫苗,用于更广泛的疾病应用.
科学领域:
- 生物技术是生物技术.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 使者RNA (mRNA) 疗法,包括mRNA疫苗,提供强大的抗病能力.
- 外源mRNA应用的一个关键限制是其固有的低翻译效率.
- 优化mRNA序列对于推进治疗开发至关重要.
研究的目的:
- 开发一个计算框架,UTailoR,用于优化5' UTR序列,以提高mRNA翻译效率.
- 提高基于mRNA的治疗方法的有效性和适用性.
- 为优化mRNA 5' UTR序列提供一个可访问的在线工具.
主要方法:
- 采用了两步人工智能策略,整合了深度学习和生成建模.
- 开发了一个基于深度学习的歧视模型,以根据5' UTR序列预测mRNA翻译效率.
- 使用生成模型,生成优化的5' UTR序列,与原始序列非常相似,但翻译效率更高.
主要成果:
- 该UTailoR框架成功优化了5' UTR序列,从而显著提高了mRNA翻译效率.
- 与原始序列相比,优化的序列在翻译效率上大约增加了200%.
- 计算方法被证明是有效和方便的mRNA 5' UTR优化.
结论:
- UTailoR提供了一种有效的计算解决方案,通过5' UTR序列优化来提高mRNA翻译效率.
- 这一进步为提高mRNA疗法和疫苗的性能带来了巨大的潜力.
- 在线UTailoR的可用性促进了mRNA技术领域的更广泛的采用和应用.
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