在AutoDock中灵活的宏循环对接的性能评估.
Matthew Holcomb1, Diogo Santos-Martins1, Andreas F Tillack1
1Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
QRB discovery
|August 2, 2023
概括
这项研究验证了用于药物设计的灵活宏循环对接方法. 该方法准确地预测了宏循环构造,改进了像Meeko这样的连接物制备管道.
科学领域:
- 计算化学是一种计算化学.
- 药品化学 药品化学 是一个
- 药物发现 药物发现
背景情况:
- 宏循环是天然产品和药物设计中的关键连接体.
- 宏循环化可以稳定特定的连接体构造,并提高细胞透性.
- 宏环联体的灵活建模在计算上具有挑战性.
研究的目的:
- 为了评估灵活的宏观循环对接方法的性能.
- 为了评估AutoDock-GPU和Vina对宏环化合物的准确性.
- 为了验证Meeko连接剂制备管道对宏观循环的有效性.
主要方法:
- 一种伪原子方法被用来建模宏环环形状和闭合力.
- 该方法在各种小分子和的宏循环 (7至33个环) 上进行了测试.
- 性能与X射线对应物的刚性重制进行了比较.
主要成果:
- 灵活的对接方法显示与刚性重复对接相比,精度损失最小.
- 该方法在对接模拟中有效处理宏环化合物.
- 实现了宏观周期形状的准确预测.
结论:
- 经过验证的方法可以灵活地建模宏循环连接体.
- 这种方法适用于具有未知的结合模式的结构灵活宏循环.
- 梅科的默认宏循环制剂对于药物设计是有效的.
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