终点自由能量方法在DNA-连接物相互作用预测中的全面评估
Cuiyu Li1, Hongyan Du2, Chengwei Zhang1
1Zhejiang Laboratory, Hangzhou 311100, Zhejiang, China.
Journal of chemical information and modeling
|January 31, 2025
概括
这项研究表明,分子力学/Poisson-Boltzmann表面积 (MM/PBSA) 最好预测DNA-联体结合亲和力. MM/PBSA和MM/GBSA方法有效地识别了药物设计的正确结合姿势.
科学领域:
- 计算化学计算化学
- 分子建模分子建模
- 药物发现 药物发现 药物发现
背景情况:
- 脱氧核糖核酸 (DNA) 是抗生素和抗癌药物的关键目标.
- 了解小分子-DNA相互作用对于设计向疗法至关重要.
- 现有的方法,如MM/PBSA和MM/GBSA,对于蛋白质-连接体结合已经很成熟,但对DNA-连接体系统的探索较少.
研究的目的:
- 系统地评估MM/PBSA和MM/GBSA的准确性,以预测DNA-联体结合.
- 调查溶解模型,介电常数和力场对预测准确性的影响.
- 为了将计算方法与分子对接工具进行比较,用于DNA - 连接体姿势预测.
主要方法:
- 对13种与DNA结合的小分子进行了系统的研究.
- 评估MM/PBSA和MM/GBSA与不同的内部介电常数 (εin) 和力场.
- 将预测准确度与实验结合亲和度和对接软件 (rDock,PLANTS) 的比较.
主要成果:
- 使用bsc1力场和εin=20的MM/PBSA显示了与实验结合数据的最佳相关性 (Rp=-0.742).
- 内部介电常数显著影响了MM/PBSA的预测.
- 在前10名中,MM/PBSA和MM/GBSA (εin=16或20) 在识别本地类绑定姿势方面表现优于对接工具.
- 植物的对接软件在预测顶-1绑定姿势方面表现出色.
结论:
- 具有优化参数的MM/PBSA是一种可靠的方法,用于预测DNA - 连接物结合亲缘关系.
- MM/GBSA提供了一种计算效率高的替代方案,用于DNA-连接体系统中的姿势预测.
- 这项研究为在DNA - 连接物相互作用研究中应用终点自由能量计算提供了关键的见解.
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