Wang Jinfeng, Ge Xiaomeng, Sun Qinglan, Chen Minlong, Qin Shijie, Liu Dongmei, Deng Tao, Ma Juncai, Hu Songnian, Jin Ronghua, Tong Zhou, Wu Linhuan
CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Microbial Resource and Big Data Center, Institute of Microbiology of the Chinese Academy of Sciences, Beijing 100101, China.
Nucleic Acids Res. 2025 May 21. doi: 10.1093/nar/gkaf407.
In therapeutic antibody engineering, utilizing naturally occurring mutations in the human body as a reference for modification is an emerging trend. The theory of convergent evolution presents a viable solution. Nevertheless, the nonuniformity of the antibody rearrangement analysis system and the difficulty in identifying the heavy-chain D-region are significant challenges to research and application. To address these limitations, we developed hAb (human antibody)-Convergent, a novel tool designed to assist users in quickly identifying candidate mutation hotspots of input antibody sequences in real human immune responses for subsequent antibody engineering. It uses antibody rearrangement features-based (V, D, J genes and CDR-H3 length) rather than traditional sequence-based strategies while ensuring the security of the original sequence. Combining more inclusive D-region identification and analysis methods, it can recognize and analyze the convergence of antibodies across various individuals. Additionally, given the limitations of obtaining antibody nucleotide sequences from academic literature, it provides an optimized approach for direct analysis and rapid comparison using amino acid sequences. hAb-Convergent bridges gaps in antibody engineering by linking natural evolution patterns to in vitro design, with implications for universal vaccine development. The tool can be freely accessed at https://nmdc.cn/zoe/.
在治疗性抗体工程中,利用人体中自然发生的突变作为修饰参考是一种新兴趋势。趋同进化理论提供了一个可行的解决方案。然而,抗体重排分析系统的不一致性以及重链D区识别的困难是研究和应用的重大挑战。为了解决这些限制,我们开发了hAb(人类抗体)-Convergent,这是一种新颖的工具,旨在帮助用户在真实的人类免疫反应中快速识别输入抗体序列的候选突变热点,以便后续进行抗体工程。它使用基于抗体重排特征(V、D、J基因和CDR-H3长度)而非传统基于序列的策略,同时确保原始序列的安全性。结合更具包容性的D区识别和分析方法,它可以识别和分析不同个体间抗体的趋同情况。此外,鉴于从学术文献中获取抗体核苷酸序列存在局限性,它提供了一种使用氨基酸序列进行直接分析和快速比较的优化方法。hAb-Convergent通过将自然进化模式与体外设计联系起来,填补了抗体工程中的空白,对通用疫苗开发具有重要意义。该工具可在https://nmdc.cn/zoe/免费访问。