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
酶
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,Mohit Verma,Jingjia Liu,Robyn L. Stanfield,Xueyong Zhu,Hannah L. Turner,Devin Sok,Po-Ssu Huang,Dennis R. Burton,Andrew B. Ward,Ian A. Wilson,Joseph G. Jardine
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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