驼科动物单域抗体与哺乳动物抗体的理化差异。

Turkish journal of biology = Turk biyoloji dergisi Pub Date : 2023-12-07 eCollection Date: 2023-01-01 DOI:10.55730/1300-0152.2676
Nazlı Eda Eskier, Doğa Eskier, Esin Firuzan, Sibel Kalyoncu Uzunlar
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引用次数: 0

摘要

背景/目的:近年来,单域抗体(又称纳米抗体)因其溶解度更高、清除速度更快、生产成本更低等各种优势,已成为全免疫球蛋白G(IgG)的替代品。纳米抗体一般来自驼科动物纯重链免疫球蛋白 Gs(hcIgGs)的可变结构域。由于驼科动物(VHHs)和人类(VHs)的可变重链之间存在高度序列同源性,因此 hcIgGs 是开发纳米抗体的理想候选物。然而,要了解 VHs 和 VHHs 之间的结构差异还需要进一步研究。这种分析对于纳米抗体工程至关重要,可在保持稳定性、功能性和抗原特异性的同时减轻潜在的免疫原性:我们从公共数据库中获得了各种驼科和非驼科哺乳动物抗体的 VH 和 VHH 序列,并根据 Chothia 编号方案进行了多序列比对。对配位长度、结合预测、主题、二硫桥、盐桥分析和理化特征分布等对齐序列进行了多种分析。逻辑回归和博鲁塔-随机森林算法有助于对理化特性进行全面检查:结果:我们的研究结果表明,与 VHs 相比,VHs 的副位点序列更长、变化更少,而且特异性抗原结合残基的结合潜力也更大。虽然 VHs 显示出更多异质的非典型二硫键模式,但 VHHs 有更多的非典型二硫桥。有趣的是,VHs 第 94 位和第 101 位之间的典型盐桥在 VHHs 中的相遇率非常低。令人惊讶的是,我们还发现 VHs 和 VHHs 之间大部分保守框架(FWs),尤其是 FW2 和 FW3 区域的理化模式存在显著差异:我们的研究结果表明,VHHs 中的关键位点可能是纳米抗体工程的候选残基。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physicochemical differences between camelid single-domain antibodies and mammalian antibodies.

Background/aim: In recent years, single-domain antibodies, also known as nanobodies, have emerged as an alternative to full immunoglobulin Gs (IgGs), due to their various advantages, including increased solubility, faster clearance, and cheaper production. Nanobodies are generally derived from the variable domain of the camelid heavy-chain-only immunoglobulin Gs (hcIgGs). Due to the high sequence homology between variable heavy chains of camelids (VHHs) and humans (VHs), hcIgGs are ideal candidates for nanobody development. However, further examination is needed to understand the structural differences between VHs and VHHs. This analysis is essential for nanobody engineering to mitigate potential immunogenicity, while preserving stability, functionality, and antigen specificity.

Materials and methods: We obtained the VH and VHH sequences of various camelid and non-camelid mammalian antibodies from public databases and used multiple sequence alignment based on the Chothia numbering scheme. Aligned sequences were subjected to diverse analyses encompassing paratope length, binding prediction, motif, disulfide bridge, salt bridge profiling, and physicochemical characteristic distribution. Logistic Regression coupled with the Boruta - Random Forest algorithm facilitated the comprehensive examination of physicochemical properties.

Results: Our findings revealed longer, less variable paratope sequences in VHHs, along with specific antigen binding residues with increased binding potential compared to VHs. Although the VHs showed more heterogeneous noncanonical disulfide bond patterns, the VHHs had a higher number of noncanonical disulfide bridges. Intriguingly, a typical salt bridge between the 94th and 101st positions in the VHs had a very low encounter rate in the VHHs. Surprisingly, we also identified notable differences in the physicochemical patterns of mostly conserved frameworks (FWs), especially the FW2 and FW3 regions, between VHs and VHHs.

Conclusion: Our findings point to possible key sites in VHHs as candidate residues for nanobody engineering efforts.

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