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Updated: Feb 8, 2026

Determination of In Vitro and Cellular Turn-on Kinetics for Fluorogenic RNA Aptamers
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Published on: August 9, 2022

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通过GRAPE-LM,RNA吸收体的单一循环进化

Jun Zhang1,2, Ju Zhang3,4, Shaoxuan Tang5,6

  • 1School of Artificial Intelligence, Shenzhen University, Shenzhen, China. junzhang@szu.edu.cn.

Nature biotechnology
|February 6, 2026
PubMed
概括

研究人员开发了GRAPE-LM,这是用于快速演变的RNA体的AI框架. 这种方法显著优于传统技术,仅在一轮选中就能取得卓越的结果.

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