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Updated: Sep 16, 2025

Rapid, Enzymatic Methods for Amplification of Minimal, Linear Templates for Protein Prototyping using Cell-Free Systems
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UTRGAN:学习生成5' UTR序列,以优化翻译效率和基因表达

Sina Barazandeh1,2, Furkan Ozden3, Ahmet Hincer4

  • 1Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, United States.

Bioinformatics advances
|July 7, 2025
PubMed
概括

一个新的生成对抗网络模型UTRGAN设计了合成的5'未翻译区域 (UTR) 来增强蛋白质表达. 这种由人工智能驱动的方法显著提高了合成生物学应用的翻译效率和核糖体负载.

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One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
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