基于CHARMM-GUI的诱导适合对接工作流程,以生成可靠的蛋白质-连接体结合模式
1Departments of Biological Sciences, Chemistry, Bioengineering, and Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
我们开发了一个CHARMM-GUI诱导适合对接 (CGUI-IFD) 工作流程,以准确预测药物分子如何与蛋白质标结合,克服药物发现方面的挑战.
科学领域:
- 计算化学计算化学
- 结构生物学 结构生物学
- 药物发现 药物发现 药物发现
背景情况:
- 分子对接对于基于结构的药物发现至关重要,可以预测连接体-蛋白相互作用.
- 诱导的适合效应,即蛋白质结合点改变形状,对传统的对接方法构成了挑战.
研究的目的:
- 提供一个简单的CHARMM-GUI诱导合适对接 (CGUI-IFD) 工作流.
- 通过考虑受体灵活性来产生可靠的蛋白质-连接体结合模式.
主要方法:
- 在CGUI-IFD工作流程中,改进了联结部位 (LBS) 形状.
- 它采用刚性受体对接,其次是高通量分子动力学 (MD) 模拟.
- 使用RMSD和MM/GBSA来评估结合稳定性和能量.
主要成果:
- 在258个交叉对的基准数据集上,CGUI-IFD工作流实现了80%的成功率.
- 这种成功率被定义为RMSD在实验结构的2.5年内.
- 工作流程在预测各种蛋白质标的结合模式方面表现出可靠性.
结论:
- CGUI-IFD 工作流提供了一种可靠的方法来生成准确的连接体结合模式.
- 它有效地解决了分子对接中的诱导适合挑战.
- 这种方法预计将在药物发现中的交叉对接应用中具有价值.
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