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Fully synthetic platform to rapidly generate tetravalent bispecific nanobody–based immunoglobulins

表位 单域抗体 抗体 计算生物学 噬菌体展示 肽库 免疫球蛋白Fab片段 亲和力成熟 蛋白质工程 抗原 表位定位 化学 免疫球蛋白轻链 生物 互补决定区 生物化学 肽序列 基因 遗传学
作者
Laetitia Misson Mindrebo,Hejun Liu,Gabriel Ozorowski,Quoc Tran,Jordan L. Woehl,Irene S. Khalek,Jessica Smith,Shawn Barman,Fangzhu Zhao,Celina Keating,Oliver Limbo,Megan Verma,Jingjia Liu,Robyn L. Stanfield,Xueyong Zhu,Hannah L. Turner,Devin Sok,Po‐Ssu Huang,Dennis R. Burton,Andrew B. Ward
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:120 (24): e2216612120-e2216612120 被引量:37
标识
DOI:10.1073/pnas.2216612120
摘要

Nanobodies bind a target antigen with a kinetic profile similar to a conventional antibody, but exist as a single heavy chain domain that can be readily multimerized to engage antigen via multiple interactions. Presently, most nanobodies are produced by immunizing camelids; however, platforms for animal-free production are growing in popularity. Here, we describe the development of a fully synthetic nanobody library based on an engineered human V H 3-23 variable gene and a multispecific antibody-like format designed for biparatopic target engagement. To validate our library, we selected nanobodies against the SARS-CoV-2 receptor–binding domain and employed an on-yeast epitope binning strategy to rapidly map the specificities of the selected nanobodies. We then generated antibody-like molecules by replacing the V H and V L domains of a conventional antibody with two different nanobodies, designed as a molecular clamp to engage the receptor-binding domain biparatopically. The resulting bispecific tetra-nanobody immunoglobulins neutralized diverse SARS-CoV-2 variants with potencies similar to antibodies isolated from convalescent donors. Subsequent biochemical analyses confirmed the accuracy of the on-yeast epitope binning and structures of both individual nanobodies, and a tetra-nanobody immunoglobulin revealed that the intended mode of interaction had been achieved. This overall workflow is applicable to nearly any protein target and provides a blueprint for a modular workflow for the development of multispecific molecules.

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