category
NAR
date
Feb 18, 2026
slug
status
Published
summary
创新性提出人工密码子盒划分技术,通过优化tRNA工程和翻译条件,首次实现遗传密码扩展至32种氨基酸(含11种延长链非天然氨基酸和1种起始链非天然氨基酸),同时保留全部20种天然氨基酸;引入具有治疗价值的β-氨基、D-氨基、N-甲基氨基酸及肽环化用N-氯乙酰-D-酪氨酸。
tags
基因编辑
合成生物学
type
Post
📄 原文题目
A reprogrammed genetic code consisting of 32 distinct amino acids
🔗 原文链接
💡 AI 核心解读
创新性提出人工密码子盒划分技术,通过优化tRNA工程和翻译条件,首次实现遗传密码扩展至32种氨基酸(含11种延长链非天然氨基酸和1种起始链非天然氨基酸),同时保留全部20种天然氨基酸;引入具有治疗价值的β-氨基、D-氨基、N-甲基氨基酸及肽环化用N-氯乙酰-D-酪氨酸。
📝 英文原版摘要
<span class="paragraphSection"><div class="boxTitle">Abstract</div>Sense codon reassignment enables ribosomal incorporation of nonproteinogenic amino acids (npAAs) at any of the 61 sense codons. Because npAAs replace proteinogenic amino acids (pAAs), the total number of available building blocks usually remains limited to 20. To overcome this, we previously introduced “artificial codon box division”, where four-codon boxes (e.g. Val GUN) are split into distinct sets (e.g. GUY and GUG) using <span style="font-style: italic;">in vitro</span> transcribed transfer RNAs (tRNAs) lacking nucleotide modifications. This allows two different amino acids—a pAA and an npAA—to be assigned within the same original box. While we previously demonstrated this by incorporating 23 amino acids, low incorporation efficiency hindered further expansion. Here, we applied our engineered tRNAs, tRNA<sup>Pro1E2</sup> and tRNA<sup>iniP</sup>, to the codon box division framework and optimized translation conditions to facilitate multiple npAA incorporations. Consequently, we successfully expanded the genetic code to 32 amino acids, incorporating 11 elongator npAAs and 1 initiator npAA while maintaining all 20 pAAs. Notably, these npAAs include therapeutically significant monomers such as β-amino, <span style="font-variant: small-caps;">d</span>-amino, and <span style="font-style: italic;">N</span>-methyl amino acids, as well as an initiator <span style="font-style: italic;">N</span>-chloroacetyl-<span style="font-variant: small-caps;">d</span>-tyrosine for peptide macrocyclization. This platform offers vast potential for generating diverse macrocyclic peptide libraries with unique chemical entities for drug discovery.</span>
- 作者:NotionNext
- 链接:https://tangly1024.com/article/30b48bd6-1f96-814b-8125-f3952b0c24fc
- 声明:本文采用 CC BY-NC-SA 4.0 许可协议,转载请注明出处。
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