Lee Yu-Ching, Lai Gar-Hwa, Lin Tsai-Yu, Tseng Tien-Sheng, Tsai Tsung-Hsun, Chen Wang-Chuan, Lee Cheng-Chung, Tsai Keng-Chang
TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan.
Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
J Biol Eng. 2023 Apr 24;17(1):30. doi: 10.1186/s13036-023-00350-y.
The main commercially available methods for detecting small molecules of mycotoxins in traditional Chinese medicine (TCM) and functional foods are enzyme-linked immunosorbent assay and mass spectrometry. Regarding the development of diagnostic antibody reagents, effective methods for the rapid preparation of specific monoclonal antibodies are inadequate.
In this study, a novel synthetic phage-displayed nanobody Golden Glove (SynaGG) library with a glove-like cavity configuration was established using phage display technology in synthetic biology. We applied this unique SynaGG library on the small molecule aflatoxin B1 (AFB1), which has strong hepatotoxicity, to isolate specific nanobodies with high affinity for AFB1.
These nanobodies exhibit no cross-reactivity with the hapten methotrexate, which is recognized by the original antibody template. By binding to AFB1, two nanobodies can neutralize AFB1-induced hepatocyte growth inhibition. Using molecular docking, we found that the unique non-hypervariable complementarity-determining region 4 (CDR4) loop region of the nanobody was involved in the interaction with AFB1. Specifically, the CDR4's positively charged amino acid arginine directed the binding interaction between the nanobody and AFB1. We then rationally optimized the interaction between AFB1 and the nanobody by mutating serine at position 2 into valine. The binding affinity of the nanobody to AFB1 was effectively improved, and this result supported the use of molecular structure simulation for antibody optimization.
In summary, this study revealed that the novel SynaGG library, which was constructed through computer-aided design, can be used to isolate nanobodies that specifically bind to small molecules. The results of this study could facilitate the development of nanobody materials to detect small molecules for the rapid screening of TCM materials and foods in the future.
检测中药和功能食品中霉菌毒素小分子的主要商业可用方法是酶联免疫吸附测定法和质谱分析法。关于诊断抗体试剂的开发,快速制备特异性单克隆抗体的有效方法不足。
在本研究中,利用合成生物学中的噬菌体展示技术建立了一种具有手套状腔结构的新型合成噬菌体展示纳米抗体金手套(SynaGG)文库。我们将这个独特的SynaGG文库应用于具有强肝毒性的小分子黄曲霉毒素B1(AFB1),以分离出对AFB1具有高亲和力的特异性纳米抗体。
这些纳米抗体与原抗体模板识别的半抗原甲氨蝶呤无交叉反应性。通过与AFB1结合,两种纳米抗体可以中和AFB1诱导的肝细胞生长抑制。通过分子对接,我们发现纳米抗体独特的非超变互补决定区4(CDR4)环区域参与了与AFB1的相互作用。具体而言,CDR4带正电荷的氨基酸精氨酸指导了纳米抗体与AFB1之间的结合相互作用。然后,我们通过将第2位的丝氨酸突变为缬氨酸,合理优化了AFB1与纳米抗体之间的相互作用。纳米抗体与AFB1的结合亲和力得到有效提高,这一结果支持了利用分子结构模拟进行抗体优化。
总之,本研究表明,通过计算机辅助设计构建的新型SynaGG文库可用于分离与小分子特异性结合的纳米抗体。本研究结果有助于未来开发用于检测小分子的纳米抗体材料,以快速筛选中药原料和食品。