胺基的功能核酸的新设计
Zhiming Zhang1, Meng Jiang1, Axin He1
1Zhejiang Key Laboratory of Functional Nucleic Acids for Basic and Clinical Application, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, China.
Nature computational science
|March 12, 2026
概括
使用核酸大语言模型 (NA-LLM) 的新框架 InstructNA 能够高效地设计功能性核酸 (FNA). 它产生多样化,高亲和度的体和DNA结合剂,优于传统方法.
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:
- 设计功能核酸 (FNA) 对于分子工具至关重要,但由于庞大的序列空间和低效的选,面临挑战.
- 核酸大语言模型 (NA-LLMs) 对FNA设计有希望,但它们的生成潜力尚未得到充分探索.
研究的目的:
- 引入 InstructNA,这是一个新的框架,用于 de novo FNA 设计.
- 通过指数式丰富 (HT-SELEX) 来利用NA-LLM和高通量系统演化对象,以引导无结构信息的FNA生成.
主要方法:
- InstructNA编码了含义丰富的FNA表示.
- 该框架对FNA序列进行解码,以生成各种功能性核酸类型.
- 将NA-LLMs与HT-SELEX相结合,以实现高效和多样化的FNA发现.
主要成果:
- InstructNA成功生成了具有增强功能的转录因子结合DNA和蛋白质结合体.
- 与传统的HT-SELEX相比,在两个蛋白质标中获得了100%和200%更强的受体结合剂.
- 与原始结合剂的序列相似性显著低 (低至38%),表明序列多样性很高.
结论:
- 在新的FNA设计中,InstructNA展示了有效性和稳定性.
- 该框架显著增强了功能性核酸的发现,包括多样化和高亲和度的体.
- InstructNA在推进分子工具设计和应用方面具有巨大的潜力.
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