Department of Biotechnology and Food Science, Faculty of Applied Sciences, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Department of Nature Conservation, Faculty of Natural Sciences, Mangosuthu University of Technology, P.O. Box 12363, Durban 4026, South Africa.
Molecules. 2022 Apr 18;27(8):2601. doi: 10.3390/molecules27082601.
The expression of the efflux pump systems is the most important mechanism of antibiotic resistance in bacteria, as it contributes to reduced concentration and the subsequent inactivity of administered antibiotics. NorA is one of the most studied antibacterial targets used as a model for efflux-mediated resistance. The present study evaluated shikimate pathway-derived phenolic acids against NorA (PDB ID: 1PW4) as a druggable target in antibacterial therapy using in silico modelling and in vitro methods. Of the 22 compounds evaluated, sinapic acid (-9.0 kcal/mol) and p-coumaric acid (-6.3 kcal/mol) had the best and most prominent affinity for NorA relative to ciprofloxacin, a reference standard (-4.9 kcal/mol). A further probe into the structural stability and flexibility of the resulting NorA-phenolic acids complexes through molecular dynamic simulations over a 100 ns period revealed p-coumaric acid as the best inhibitor of NorA relative to the reference standard. In addition, both phenolic acids formed H-bonds with TYR 76, a crucial residue implicated in NorA efflux pump inhibition. Furthermore, the phenolic acids demonstrated favourable drug likeliness and conformed to Lipinski's rule of five for ADME properties. For the in vitro evaluation, the phenolic acids had MIC values in the range 31.2 to 62.5 μg/mL against and , and there was an overall reduction in MIC following their combination with ciprofloxacin. Taken together, the findings from both the in silico and in vitro evaluations in this study have demonstrated high affinity of p-coumaric acid towards NorA and could be suggestive of its exploration as a novel NorA efflux pump inhibitor.
细菌中,外排泵系统的表达是抗生素耐药性的最重要机制,因为它导致给予的抗生素浓度降低和随后失活。NorA 是作为外排介导的耐药性模型研究最多的抗菌靶标之一。本研究使用计算机建模和体外方法评估莽草酸途径衍生的酚酸对 NorA(PDB ID:1PW4)作为抗菌治疗的可用药靶标。在评估的 22 种化合物中,相对比于环丙沙星(参考标准,-4.9 kcal/mol),芥子酸(-9.0 kcal/mol)和对香豆酸(-6.3 kcal/mol)对 NorA 的亲和力最好,也最显著。通过分子动力学模拟进一步研究 100 ns 期间得到的 NorA-酚酸复合物的结构稳定性和灵活性,结果表明,与参考标准相比,对香豆酸是 NorA 的最佳抑制剂。此外,两种酚酸都与 TYR 76 形成氢键,TYR 76 是 NorA 外排泵抑制中涉及的关键残基。此外,酚酸表现出良好的药物相似性,并符合 ADME 性质的 Lipinski 五规则。对于体外评估,酚酸对 和 具有 31.2 至 62.5 μg/mL 的 MIC 值,并且在用环丙沙星组合后 MIC 总体降低。总的来说,本研究中的计算机和体外评估结果表明,对香豆酸对 NorA 具有高亲和力,可能表明其作为新型 NorA 外排泵抑制剂的探索。