一个计算工作流程,以确定药物候选物替代阿米诺糖化物,准大肠杆菌核糖体解码中心的替代药物
Merve Yuce1, Beril Ates1, Nesrin Isil Yasar2
1Istanbul Technical University, Department of Chemical Engineering, Istanbul, 34469, Turkey.
Journal of molecular graphics & modelling
|July 8, 2024
概括
这项研究引入了一种计算方法,以发现针对细菌核糖体的新抗生素化合物. 工作流快速识别治疗抗生素耐药性的潜在高 afinity 抑制剂,建议七个有前途的候选人进行进一步的研究.
科学领域:
- 计算化学是一种计算化学.
- 分子生物学分子生物学
- 药物发现 药物发现
背景情况:
- 抗生素耐药性是一个日益增长的全球健康威胁,需要新的治疗策略.
- 确定新的细菌标抑制剂,如大肠杆菌核糖体,至关重要.
研究的目的:
- 开发和验证一种计算工作流程,用于识别针对30S核糖体子单元的高亲和性化合物.
- 选FDA批准的研究和实验化合物库,以检测潜在的抑制剂.
主要方法:
- 在完整的30S核糖体上使用了两步分子对接方法 (Glide,AutoDock Vina).
- 在一个截断的核糖体结构上使用MM-GBSA计算进行了分子动力学 (MD) 模拟.
- 采用了基于氨基糖化物结合部位指纹的过策略.
主要成果:
- 鉴定了七种具有抑制30S核糖体子单元的潜力的打击化合物.
- 化合物包括具有多种临床用途的化合物和新型氨基糖化物衍生物.
- 工作流显示了对联体-rRNA相互作用的有效参数化.
结论:
- 开发的计算工作流提供了一种快速有效的方法来估计大型蛋白质-RNA-连接体系统中的结合自由能量.
- 这种方法加速了新型抗菌剂的发现.
- 已识别的热门化合物需要进一步进行体外研究,以确定它们的治疗潜力.
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