Recent advances in the selection and identification of antigen-specific nanobodies

计算生物学 抗原 抗原性 生物医学 免疫系统 生物 肽库 表位 选择(遗传算法) 计算机科学 免疫学 生物信息学 遗传学 基因 人工智能 肽序列
作者
Wenshuai Liu,Haipeng Song,Quan Chen,Jianli Yu,Mo Xian,Rui Nian,Dongxiao Feng
出处
期刊:Molecular Immunology [Elsevier BV]
卷期号:96: 37-47 被引量:95
标识
DOI:10.1016/j.molimm.2018.02.012
摘要

Nanobodies represent the next-generation antibody-derived biologics with significant advances over conventional antibodies. Several rapid and robust techniques for isolating highly specific nanobodies have been developed. Antigen specific nanobodies are selected from constructed nanobody libraries, which can be classified into 3 main types: immune library, naïve library, and semisynthetic/synthetic library. The immune library is the most widely used strategy for nanobody screening. Target specific nanobodies are highly enriched in immune libraries than in non-immune libraries; however, it is largely limited by the natural antigenicity of antigens. The naïve library is thus developed. Despite the lack of somatic maturation, protein engineering can be employed to significantly increase the affinities of selected binders. However, a substantial amount of blood samples collected from a large number of individual animals is a prerequisite to ensure the diversity of the naïve library. With this issue considered, the semisynthetic/synthetic library may be a promising path toward obtaining a limitless source of nanobodies against a variety of antigens without the need of animals. In this review, we summarize the state-of-the-art screening technologies with different libraries. The approaches presented here can further boost the diverse applications of nanobodies in biomedicine and biotechnology.
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