Suppr超能文献

酵母展示技术鉴定针对肉毒神经毒素轻链 A 的共价单域抗体。

Yeast Display Enables Identification of Covalent Single-Domain Antibodies against Botulinum Neurotoxin Light Chain A.

机构信息

Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts02155, United States of America.

Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York10016, United States of America.

出版信息

ACS Chem Biol. 2022 Dec 16;17(12):3435-3449. doi: 10.1021/acschembio.2c00574. Epub 2022 Dec 2.

Abstract

While covalent drug discovery is reemerging as an important route to small-molecule therapeutic leads, strategies for the discovery and engineering of protein-based irreversible binding agents remain limited. Here, we describe the use of yeast display in combination with noncanonical amino acids (ncAAs) to identify irreversible variants of single-domain antibodies (sdAbs), also called VHHs and nanobodies, targeting botulinum neurotoxin light chain A (LC/A). Starting from a series of previously described, structurally characterized sdAbs, we evaluated the properties of antibodies substituted with reactive ncAAs capable of forming covalent bonds with nearby groups after UV irradiation (when using 4-azido-l-phenylalanine) or spontaneously (when using -(2-bromoethyl)-l-tyrosine). Systematic evaluations in yeast display format of more than 40 ncAA-substituted variants revealed numerous clones that retain binding function while gaining either UV-mediated or spontaneous crosslinking capabilities. Solution-based analyses indicate that ncAA-substituted clones exhibit site-dependent target specificity and crosslinking capabilities uniquely conferred by ncAAs. Interestingly, not all ncAA substitution sites resulted in crosslinking events, and our data showed no apparent correlation between detected crosslinking levels and distances between sdAbs and LC/A residues. Our findings highlight the power of yeast display in combination with genetic code expansion in the discovery of binding agents that covalently engage their targets. This platform streamlines the discovery and characterization of antibodies with therapeutically relevant properties that cannot be accessed in the conventional genetic code.

摘要

虽然共价药物发现作为小分子治疗性先导物的重要途径重新出现,但用于发现和工程化基于蛋白质的不可逆转结合剂的策略仍然有限。在这里,我们描述了使用酵母展示与非天然氨基酸 (ncAA) 相结合来鉴定靶向肉毒神经毒素轻链 A (LC/A) 的单域抗体 (sdAb) 的不可逆变体,也称为 VHH 和纳米抗体。从一系列先前描述的、结构表征的 sdAb 开始,我们评估了用反应性 ncAA 取代的抗体的特性,这些 ncAA 能够在 UV 照射后(使用 4-叠氮基-l-苯丙氨酸时)或自发地(使用 - (2-溴乙基)-l-酪氨酸时)与附近的基团形成共价键。在酵母展示格式中对超过 40 个 ncAA 取代变体进行的系统评估揭示了许多保留结合功能但同时获得 UV 介导或自发交联能力的克隆。基于溶液的分析表明,ncAA 取代的克隆表现出依赖于结合位点的靶特异性和 ncAA 独特赋予的交联能力。有趣的是,并非所有 ncAA 取代位点都导致交联事件,并且我们的数据表明,检测到的交联水平与 sdAb 和 LC/A 残基之间的距离之间没有明显的相关性。我们的研究结果强调了酵母展示与遗传密码扩展相结合在发现共价结合其靶标的结合剂方面的强大功能。该平台简化了具有传统遗传密码无法获得的治疗相关特性的抗体的发现和表征。

相似文献

2
Chemical Diversification of Simple Synthetic Antibodies.简单合成抗体的化学多样化。
ACS Chem Biol. 2021 Feb 19;16(2):344-359. doi: 10.1021/acschembio.0c00865. Epub 2021 Jan 22.

引用本文的文献

2
Computationally Assisted Noncanonical Amino Acid Incorporation.计算辅助的非规范氨基酸掺入
ACS Cent Sci. 2024 Dec 16;11(1):84-90. doi: 10.1021/acscentsci.4c01544. eCollection 2025 Jan 22.
4
Genetic Code Expansion: Recent Developments and Emerging Applications.遗传密码扩展:最新进展与新兴应用
Chem Rev. 2025 Jan 22;125(2):523-598. doi: 10.1021/acs.chemrev.4c00216. Epub 2024 Dec 31.
5
Reaching New Heights in Genetic Code Manipulation with High Throughput Screening.高通量筛选助力基因密码操作技术新突破
Chem Rev. 2024 Nov 13;124(21):12145-12175. doi: 10.1021/acs.chemrev.4c00329. Epub 2024 Oct 17.

本文引用的文献

3
Exploration of Pyrrolysyl-tRNA Synthetase Activity in Yeast.酵母中吡咯赖氨酸 tRNA 合成酶活性的探索。
ACS Synth Biol. 2022 May 20;11(5):1824-1834. doi: 10.1021/acssynbio.2c00001. Epub 2022 Apr 13.
4
Design of protein-binding proteins from the target structure alone.从目标结构设计蛋白质结合蛋白。
Nature. 2022 May;605(7910):551-560. doi: 10.1038/s41586-022-04654-9. Epub 2022 Mar 24.
7
Deep learning and protein structure modeling.深度学习与蛋白质结构建模。
Nat Methods. 2022 Jan;19(1):13-14. doi: 10.1038/s41592-021-01360-8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验