Li Minghao, Chen Baipeng, Xu Ming, Li Fulong, Geng Yi, Chen Defang, Ouyang Ping, Huang Xiaoli, Deng Yongqiang
Fisheries Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, China.
Department of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
Front Microbiol. 2024 May 21;15:1392178. doi: 10.3389/fmicb.2024.1392178. eCollection 2024.
TonB-dependent siderophore receptors play a critical transport role for virulence formation and growth, and have become valuable targets for the development of novel antimicrobial agents. Traditional Chinese medicine has demonstrated notable efficacy in the treatment of fish diseases and includes potential antibacterial agents. Herein, we performed molecular docking-based virtual screening to discover novel TonB-dependent siderophore receptor inhibitors from traditional Chinese medicine and provide information for developing novel antibacterial agents. Firstly, we efficiently obtained 11 potential inhibitors with desirable drug-like characteristics from thousands of compounds in the TCM library based on virtual screening and property prediction. The antibacterial activity of Enoxolone, along with its interaction characteristics, were determined via an MIC assay and molecular dynamic simulation. Transcriptional profiling, along with validation experiments, subsequently revealed that an insufficient uptake of iron ions by bacteria upon binding to the TonB-dependent siderophore receptors is the antibacterial mechanism of Enoxolone. Finally, Enoxolone's acceptable toxicity was illustrated through immersion experiments. In summary, we have used virtual screening techniques for the first time in the development of antimicrobial agents in aquaculture. Through this process, we have identified Enoxolone as a promising compound targeting the TonB-dependent siderophore receptor of . In addition, our findings will provide new ideas for the advancement of innovative antimicrobial medications in aquaculture.
铁载体结合蛋白依赖性铁载体受体在毒力形成和生长过程中发挥着关键的转运作用,已成为新型抗菌药物开发的重要靶点。中药在鱼类疾病治疗中已显示出显著疗效,且含有潜在的抗菌剂。在此,我们基于分子对接进行虚拟筛选,以从中药中发现新型铁载体结合蛋白依赖性铁载体受体抑制剂,并为新型抗菌药物的开发提供信息。首先,基于虚拟筛选和性质预测,我们从中药库中的数千种化合物中高效获得了11种具有理想类药特性的潜在抑制剂。通过最小抑菌浓度(MIC)测定和分子动力学模拟确定了甘草次酸的抗菌活性及其相互作用特征。随后,转录谱分析及验证实验表明,细菌与铁载体结合蛋白依赖性铁载体受体结合后铁离子摄取不足是甘草次酸的抗菌机制。最后,通过浸浴实验证明了甘草次酸具有可接受的毒性。总之,我们首次在水产养殖抗菌药物开发中使用了虚拟筛选技术。通过这一过程,我们确定甘草次酸是一种有前景的靶向[具体细菌名称]铁载体结合蛋白依赖性铁载体受体的化合物。此外,我们的研究结果将为水产养殖中创新抗菌药物的发展提供新思路。