Liu Chang, Li Guoqiang, Chen Yuan, Lin Hong, Cao Limin, Wang Kaiqiang, Wang Xiudan, Flajnik Martin F, Sui Jianxin
State Key Laboratory of Marine Food Processing and Safety Control, College of Food Science and Engineering, Ocean University of China, Qingdao, 266404 China.
School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, 637457 Singapore.
Mar Life Sci Technol. 2025 Feb 13;7(2):340-351. doi: 10.1007/s42995-024-00277-3. eCollection 2025 May.
In this study, we investigated the molecular recognition mechanisms of shark-derived single-domain antibodies (ssdAbs) targeting fluoroquinolones using an integrated approach that combines in silico homologous modeling, molecular dynamics simulations, molecular docking, and alanine scanning mutagenesis. Three ssdAbs-2E6, 1N9, and 1O17-specific to enrofloxacin, norfloxacin, and ofloxacin, respectively, were selected based on previous work. Through AlphaFold2 and GalaxyWEB, the protein structures of these ssdAbs were predicted and optimized, followed by molecular dynamics simulations to emulate realistic protein behavior in a solvent environment. Molecular docking, alanine scanning mutagenesis, and subsequent verifications identified 30N and 93W of 2E6; 30N, 89R, 98Y, and 99D of 1N9; 100W and 101R of 1O17, all located within the complementarity determining region 3 loop, as critical for antigen binding. These residues primarily interact with their targets through hydrogen bonds, salt bridges, π-π stackings, and cation-π interactions. This study revealed, for the first time, the binding mechanism of ssdAbs to fluoroquinolones from a theoretical perspective, emphasizing the importance of aromatic and polar residues in recognizing characteristic epitopes, such as the carboxyl group at the C3 position and the 1-piperazinyl group at the C7 position. Our findings provide valuable insights for the rational design and enhancement of ssdAbs for detecting small molecule hazards in aquaculture.
The online version contains supplementary material available at 10.1007/s42995-024-00277-3.
在本研究中,我们采用了一种综合方法,结合计算机同源建模、分子动力学模拟、分子对接和丙氨酸扫描诱变,研究了鲨鱼源单域抗体(ssdAbs)靶向氟喹诺酮类药物的分子识别机制。根据之前的工作,我们选择了分别对恩诺沙星、诺氟沙星和氧氟沙星具有特异性的三种ssdAbs——2E6、1N9和1O17。通过AlphaFold2和GalaxyWEB预测并优化了这些ssdAbs的蛋白质结构,随后进行分子动力学模拟,以模拟其在溶剂环境中的实际蛋白质行为。分子对接、丙氨酸扫描诱变及后续验证确定了2E6的30N和93W;1N9的30N、89R、98Y和99D;1O17的100W和101R,这些均位于互补决定区3环内,对抗原结合至关重要。这些残基主要通过氢键、盐桥、π-π堆积和阳离子-π相互作用与其靶标相互作用。本研究首次从理论角度揭示了ssdAbs与氟喹诺酮类药物的结合机制,强调了芳香族和极性残基在识别特征性表位(如C3位的羧基和C7位的1-哌嗪基)中的重要性。我们的研究结果为合理设计和增强用于检测水产养殖中小分子危害的ssdAbs提供了有价值的见解。
在线版本包含可在10.1007/s42995-024-00277-3获取的补充材料。