A synthetic heavy chain variable domain antibody library (VHL) provides highly functional antibodies with favorable developability

互补决定区 抗体 抗原 免疫原性 表位 化学 免疫球蛋白轻链 分子生物学 受体 肽库 计算生物学 单链可变片段 生物 肽序列 生物化学 单克隆抗体 基因 遗传学
作者
Guiying Pang,Ruixue Wang,Hongxu Yang,Mengya Chai,Yanzhe Gao,Sisi Chen,Ting Mao,Luheng Du,Yujia Lan,Li Shu,Jie Xu,Panpan Cui,Ruqing Cheng,Yuxin Huang,Xuncui Wang,Yi Yang
出处
期刊:Protein Science [Wiley]
卷期号:34 (4): e70090-e70090 被引量:1
标识
DOI:10.1002/pro.70090
摘要

Abstract Synthetic antibody libraries have been developed as an efficient source for the discovery of the heavy chain variable (VH) domain, which exhibits low immunogenicity, high tissue penetration, and diverse binding epitopes in therapeutic biopharmaceuticals. In this study, the human IGHV3‐23*04 germline gene was chosen as the scaffold with a high expression level and favorable thermal stability. Amino acid diversity was introduced into the complementarity determining region 3 (CDR3) to exclude potential sequence liabilities. A library containing 2.6 × 10 11 independent clones was successfully constructed. The receptor‐binding domain (RBD) of the SARS‐CoV‐2 spike protein, interleukin‐17A (IL17A), B‐cell maturation antigen (BCMA), and G‐protein coupled receptor family C group 5 member D (GPRC5D) were used as target antigens to screen and identify VHs. In each case, Thirty‐one to fifty‐five VHs were screened out. The VH‐Fc antibodies showed superior affinities (as high as 4.6 nM) to the corresponding antigens but did not bind to antigen‐irrelevant cell CHO‐S. Furthermore, the anti‐RBD and anti‐IL17A VH‐Fc antibodies showed strong functional activity in the receptor‐blocking assays. The VH‐Fc antibodies from the synthetic library exhibited favorable developability (thermal stability, colloidal stability, hydrophilicity, anti‐aggregation ability, and no interaction with human IgGs). We demonstrated that high‐affinity and highly functional VH domain antibodies were generated from the rationally designed library with desired physicochemical properties. This approach is generally universal to target any antigen and has significant potential to accelerate candidate selection.
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