Kobe Pharmaceutical University, 4-19-1, Motoyama-Kitamachi, Higashinada-ku, Kobe, 658-8558, Japan.
Sci Rep. 2020 Mar 16;10(1):4807. doi: 10.1038/s41598-020-61529-7.
"Antibody-breeding" has provided therapeutic/diagnostic antibody mutants with greater performance than native antibodies. Typically, random point mutations are introduced into the V and V domains of parent antibodies to generate diverse libraries of single-chain Fv fragments (scFvs), from which evolved mutants are selected. We produced an scFv against estradiol-17β with 11 amino acid substitutions and a >100-fold improved affinity constant (K = 1.19 × 10 M) over the parent scFv, enabling immunoassays with >30-fold higher sensitivity. We systematically analyzed contributions of these substitutions to the affinity enhancement. Comparing various partial scFv revertants based on their Ks indicated that a revertant with four substitutions (V-L100gQ, V-I29V, -L36M, -S77G) exhibited somewhat higher affinity (K = 1.46 × 10 M). Finally, the V-L100gQ substitution, occurring in V complementarity-determining region (CDR) 3, was found to be the highest-priority for improving the affinity, and V-I29V and/or V-L36M cooperated significantly. These findings encouraged us to reconsider the potential of V-CDR3-targeting mutagenesis, which has been frequently attempted. The substitution(s) wherein might enable a "high rate of return" in terms of selecting mutants with dramatically enhanced affinities. The "high risk" of generating a tremendous excess of "junk mutants" can be overcome with the efficient selection systems that we developed.
“抗体产生”为治疗/诊断用抗体突变体提供了比天然抗体性能更好的突变体。通常,将随机点突变引入亲本抗体的 V 和 V 结构域,以生成多样性的单链 Fv 片段(scFv)文库,从中选择进化的突变体。我们产生了针对雌二醇-17β的 scFv,与亲本 scFv 相比,其具有 11 个氨基酸取代,亲和力常数(K)提高了>100 倍(K=1.19×10-9 M),能够进行灵敏度提高>30 倍的免疫测定。我们系统地分析了这些取代对亲和力增强的贡献。比较基于 K 的各种部分 scFv 回复突变体表明,具有四个取代(V-L100gQ、V-I29V、-L36M、-S77G)的回复突变体具有略高的亲和力(K=1.46×10-9 M)。最后,发生在 V 互补决定区(CDR)3 中的 V-L100gQ 取代被发现是提高亲和力的最高优先级,并且 V-I29V 和/或 V-L36M 协同作用非常显著。这些发现鼓励我们重新考虑 V-CDR3 靶向诱变的潜力,这已经被频繁尝试。在选择具有显著增强亲和力的突变体方面,可能会产生“高回报率”的取代。可以通过我们开发的高效选择系统克服产生大量“垃圾突变体”的“高风险”。