将量子力学集成到蛋白质-连接体对接中:朝着更高的准确性和可靠性
1QuantumFuture Scientific Buda, TX, USA.
Research square
|December 16, 2024
概括
新的蛋白质-配体对接方法,QFVina和QFVinardo,通过使用精确的配体构造和应变能量来提高虚拟选的准确性. 这解决了传统的柔性带对接中的错误,以更好地发现药物.
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:
- 传统的柔性联结对接方法往往误解了结构的分子内相对能量.
- 这种不准确性导致构造能量的重大错误和具有高应变能量的不现实的联结体几何.
研究的目的:
- 引入QFVina和QFVinardo,这两种新的蛋白质-连接体对接方法.
- 通过结合预先计算的,高质量的结构库来提高基于对接的虚拟选的准确性.
- 为了解决灵活的带对接中固有的分子内相对能量和应变能量的不准确性.
主要方法:
- 利用预先计算的形状图书馆与量子力学 (QM) 优化的几何.
- 使用*ab initio*基于DFT-D4的形状排名和应变能量计算.
- 在评分函数中实现物理现实的联结体构造与准确的应变能量.
主要成果:
- 证明了广泛使用的基于力场的方法的相对能量结构的实质性错误.
- 展示了传统的柔性联结对接产生具有相当大的应变能量的几何形状,与结合能量相比较.
- 与传统方法相比,QFVina和QFVinardo产生了明显不同的对接结果,即使具有相同的相互作用能量评分功能.
结论:
- 准确表示连接体构造和应变能量对于可靠的蛋白质-连接体对接至关重要.
- 开发的QFVina和QFVinardo方法在虚拟选中提供了更高的准确性.
- 这些发现突显了当前灵活的联结体对接方法的局限性,以及物理现实的构造数据的必要性.
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