基于机器学习的虚拟查和密度功能理论对自然抑制剂的表征,这些抑制剂针对Streptococcus pneumoniae中的突变PBP2x
Avani Panickar1,2, Anand Manoharan3, Sudha Ramaiah4,5
1Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, 632014, India.
Scientific reports
|November 7, 2025
概括
这项研究确定了植物化合物Glucozaluzanin C,作为对耐药性肺炎链球菌 (S. pneumoniae) 的潜在抑制剂. 它有效地向突变的青素结合蛋白2x (PBP2x),提供了一种针对抗生素耐药性的新策略.
科学领域:
- 微生物学和分子生物学
- 药理学和药物发现
- 计算化学计算化学
背景情况:
- 肺炎链球菌 (S. pneumoniae) 由于青素结合蛋白2x (PBP2x) 的突变,对β-乳糖抗生素产生了耐药性.
- 这些突变,特别是在像STMK和KSG这样的保存基因中,使多药耐药菌株产生耐药性,导致严重的感染.
- 血清型19A,19F和23F中对β-乳酸盐的敏感性降低,需要采用替代治疗方法.
研究的目的:
- 确定针对S. pneumoniae中临床相关的PBP2x突变的新型抑制剂.
- 选一个植物化合物库对抗耐药性肺炎球菌菌株的潜在抗菌活性.
- 评估具有PBP2x突变的有希望的植物化学品候选物的结合亲和力和稳定性.
主要方法:
- 机器学习模型被用来选植物化合物库的抗菌性质.
- 密度函数理论 (DFT) 用于顶级候选者的电子特征分析 (HOMO-LUMO,静电电位映射).
- 分子对接和100ns分子动力学模拟评估了Glucozaluzanin C与PBP2x突变体的结合亲和力和稳定性.
主要成果:
- 来自Elephantopus的植物化学物质Glucozaluzanin C被确定为一个有前途的候选人.
- 分子模拟表明,Glucozaluzanin C与五种PBP2x突变具有强大的结合亲和力和稳定的相互作用.
- 包括RMSD,RMSF和键在内的分析证实了化合物突变复合物的稳定性.
结论:
- 葡萄糖素C显示出作为对抗β-乳酸盐耐药性S. pneumoniae的抑制剂的显著潜力.
- 这项研究验证了一种用于发现抗生素耐药细菌的植物性抗微生物的计算策略.
- 这项研究为开发抗性S. pneumoniae菌株引起的感染的新疗法提供了有希望的途径.
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