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评估非天然氨基酸的翻译效率,为设计类似药物的肽文库提供信息。

Evaluating Translational Efficiency of Noncanonical Amino Acids to Inform the Design of Druglike Peptide Libraries.

机构信息

Department of Peptide Therapeutics, Genentech, South San Francisco, California 94080, United States.

Department of Discovery Chemistry, Genentech, South San Francisco, California 94080, United States.

出版信息

ACS Chem Biol. 2023 Jan 20;18(1):81-90. doi: 10.1021/acschembio.2c00712. Epub 2023 Jan 6.

Abstract

Advances in genetic code reprogramming have allowed the site-specific incorporation of noncanonical functionalities into polypeptides and proteins, providing access to wide swaths of chemical space via translation techniques like mRNA display. Prior efforts have established that the translation machinery can tolerate amino acids with modifications to both the peptide backbone and side chains, greatly broadening the chemical space that can be interrogated in ligand discovery efforts. However, existing methods for confirming the translation yield of new amino acid building blocks for these technologies necessitate multistep workups and, more importantly, are not relevant for measuring translation within the context of a combinatorial library consisting of multiple noncanonical amino acids. In this study, we developed a luminescence-based assay to rapidly assess the relative translation yield of any noncanonical amino acid in real time. Among the 59 amino acids tested here, we found that many translate with high efficiency, but translational yield is not necessarily correlated to whether the amino acid is proteinogenic or has high tRNA acylation efficiency. Interestingly, we found that single-template translation data can inform the library-scale translation yield and that shorter peptide libraries are more tolerant of lower-efficiency amino acid monomers. Together our data show that the luminescence-based assay described herein is an essential tool in evaluating new building blocks and codon table designs within mRNA display toward the goal of developing druglike peptide-based libraries for drug discovery campaigns.

摘要

遗传密码重编程的进展使得非规范功能能够在多肽和蛋白质中特异性地掺入,通过 mRNA 展示等翻译技术,能够进入广泛的化学空间。先前的研究已经表明,翻译机制可以容忍肽主链和侧链都经过修饰的氨基酸,大大拓宽了在配体发现工作中可以研究的化学空间。然而,用于确认这些技术中新氨基酸构建块翻译产量的现有方法需要多步操作,更重要的是,对于测量组合文库(由多个非规范氨基酸组成)中翻译的情况并不相关。在这项研究中,我们开发了一种基于发光的测定法,可实时快速评估任何非规范氨基酸的相对翻译产量。在我们测试的 59 种氨基酸中,我们发现许多氨基酸具有很高的翻译效率,但翻译效率与氨基酸是否为蛋白质或具有高 tRNA 酰化效率不一定相关。有趣的是,我们发现单模板翻译数据可以为文库规模的翻译产量提供信息,并且较短的肽文库对低效率的氨基酸单体更具耐受性。我们的数据共同表明,本文描述的基于发光的测定法是在 mRNA 展示中评估新构建块和密码子表设计的重要工具,旨在开发用于药物发现的基于肽的类药物文库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3ed/9872084/b38dfdfa1869/cb2c00712_0001.jpg

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