Alanzi Abdullah R, Alhaidhal Bayan Abdullah, Aloatibi Raghad Mohammad
Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Sci Rep. 2025 May 11;15(1):16385. doi: 10.1038/s41598-025-97083-3.
Macrolide resistance is the ability of bacteria to survive the effects of macrolide antibiotics, which include drugs such as erythromycin, clarithromycin, and azithromycin. Efforts to combat resistance mechanisms like this frequently involve the discovery and development of new antibiotics or therapeutic strategies capable of overcoming these modifications and restoring the efficacy of current antibiotics. In this study, we explored natural products against enzymes of macrolide resistance Macrolide 2'-phosphotransferase type I (mphA or ErmE), Macrolide 2'-phosphotransferase type II (mphB), Tripartite macrolide-specific efflux pump, Erythromycin esterase EreC, and rRNA methyltransferase (ErmAM) by molecular modelling techniques. The standard precision protocol of the Glide tool was utilized to dock a library of 1,400 natural product compounds from the LOTUS database against various enzymes associated with macrolide resistance. The docking results were assessed using the glide score, and the top ten compounds that were docked to each receptor were selected. Additionally, these selected compounds underwent ADMET analysis, suggesting their potential for therapeutic development. Among the selected compounds, LTS0271681 showed the highest binding affinity against ErmAM, LTS0263188 showed highest binding affinity against Tripartite macrolide-specific efflux pump, LTS0024216 showed the highest binding affinity against mphA, LTS0110759 showed the highest binding affinity against mphB, and LTS0100971 showed the highest binding affinity against EreC. The study incorporated molecular dynamic simulations and MM-GBSA binding free energy calculations to enhance the docking experiments. The results indicate that these compounds could potentially serve as inhibitors of macrolide resistance. However, while computational validations were part of this research, additional in-vitro studies are necessary to develop these potential inhibitors into therapeutic drugs.
大环内酯类耐药性是指细菌在大环内酯类抗生素作用下存活的能力,这类抗生素包括红霉素、克拉霉素和阿奇霉素等药物。对抗此类耐药机制的努力通常涉及发现和开发新的抗生素或治疗策略,以克服这些修饰并恢复现有抗生素的疗效。在本研究中,我们通过分子建模技术探索了针对大环内酯类耐药性相关酶的天然产物,这些酶包括I型大环内酯2'-磷酸转移酶(mphA或ErmE)、II型大环内酯2'-磷酸转移酶(mphB)、三联大环内酯特异性外排泵、红霉素酯酶EreC和rRNA甲基转移酶(ErmAM)。利用Glide工具的标准精度协议,将来自LOTUS数据库的1400种天然产物化合物库与各种大环内酯类耐药相关酶进行对接。使用Glide评分评估对接结果,并选择与每个受体对接的前十种化合物。此外,对这些选定的化合物进行了ADMET分析,表明它们具有治疗开发潜力。在选定的化合物中,LTS0271681对ErmAM显示出最高的结合亲和力,LTS0263188对三联大环内酯特异性外排泵显示出最高的结合亲和力,LTS0024216对mphA显示出最高的结合亲和力,LTS0110759对mphB显示出最高的结合亲和力,LTS0100971对EreC显示出最高的结合亲和力。该研究纳入了分子动力学模拟和MM-GBSA结合自由能计算,以加强对接实验。结果表明,这些化合物有可能作为大环内酯类耐药性的抑制剂。然而,虽然计算验证是本研究的一部分,但还需要额外的体外研究将这些潜在抑制剂开发成治疗药物。