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利用酵母表面展示技术分离化学环化肽配体。

Isolation of Chemically Cyclized Peptide Binders Using Yeast Surface Display.

机构信息

Department of Chemical and Biomolecular Engineering, North Carolina State University, Box 7905, Engineering Building I, Raleigh, North Carolina 27695, United States.

Biomanufacturing Training and Education Center (BTEC), North Carolina State University, Raleigh, North Carolina 27695, United States.

出版信息

ACS Comb Sci. 2020 Oct 12;22(10):519-532. doi: 10.1021/acscombsci.0c00076. Epub 2020 Aug 26.

Abstract

Cyclic peptides with engineered protein-binding activity have gained increasing attention for use in therapeutic and biotechnology applications. We describe the efficient isolation and characterization of cyclic peptide binders from genetically encoded combinatorial libraries using yeast surface display. Here, peptide cyclization is achieved by disuccinimidyl glutarate-mediated cross-linking of amine groups within a linear peptide sequence that is expressed as a yeast cell surface fusion. Using this approach, we first screened a library of cyclic heptapeptides using magnetic selection, followed by fluorescence activated cell sorting (FACS) to isolate binders for a model target (lysozyme) with low micromolar binding affinity ( ∼ 1.2-3.7 μM). The isolated peptides bind lysozyme selectively and only when cyclized. Importantly, we showed that yeast surface displayed cyclic peptides can be used to efficiently obtain quantitative estimates of binding affinity, circumventing the need for chemical synthesis of the selected peptides. Subsequently, to demonstrate broader applicability of our approach, we isolated cyclic heptapeptides that bind human interleukin-17 (IL-17) using yeast-displayed IL-17 as a target for magnetic selection, followed by FACS using recombinant IL-17. Molecular docking simulations and follow-up experimental analyses identified a candidate cyclic peptide that likely binds IL-17 in its receptor binding region with moderate apparent affinity ( ∼ 300 nM). Taken together, our results show that yeast surface display can be used to efficiently isolate and characterize cyclic peptides generated by chemical modification from combinatorial libraries.

摘要

具有工程化蛋白结合活性的环状肽在治疗和生物技术应用中越来越受到关注。我们描述了使用酵母表面展示技术从遗传编码的组合文库中高效分离和鉴定环状肽结合物的方法。在这里,通过在线性肽序列中的胺基之间的双琥珀酰亚胺戊二酸酯介导的交联来实现肽环化,该线性肽序列作为酵母细胞表面融合表达。通过这种方法,我们首先使用磁选筛选了一个环状七肽文库,然后使用荧光激活细胞分选(FACS)从模型靶标(溶菌酶)中分离出具有低微摩尔结合亲和力(约 1.2-3.7 μM)的结合物。分离出的肽选择性地与溶菌酶结合,并且只有在环化时才结合。重要的是,我们表明酵母表面展示的环状肽可以用于高效获得结合亲和力的定量估计,从而避免了对所选肽进行化学合成的需要。随后,为了证明我们方法的更广泛适用性,我们使用酵母展示的白细胞介素-17(IL-17)作为磁选的靶标,从组合文库中分离出与人类白细胞介素-17(IL-17)结合的环状七肽,然后使用重组 IL-17 进行 FACS。分子对接模拟和后续的实验分析确定了一个候选环状肽,该肽可能以中等表观亲和力(约 300 nM)结合在其受体结合区域内的 IL-17。总之,我们的结果表明,酵母表面展示可用于从组合文库中高效分离和鉴定通过化学修饰产生的环状肽。

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