对于大型主机-客户系统的相互作用能量的聚合在分子中的局部相关性方法的有效计算策略
Hua Feng1, Yang Zheng1, Yuqi Wang1
1State Key Laboratory of Coordination Chemistry, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
Journal of chemical theory and computation
|March 7, 2025
概括
我们开发了一种更快的方法来计算宿主-客互动能量,使用减少的分子中的集群 (CIM) 方法. 这显著加快了大型系统的计算速度,而不损失精度,使复杂的分子相互作用更容易获得.
科学领域:
- 计算化学计算化学
- 量子化学 是一个量子化学.
- 分子建模分子建模
背景情况:
- 精确计算主机-客人相互作用能量对于药物发现和材料科学至关重要.
- 传统的方法与大型分子系统的计算成本作斗争.
研究的目的:
- 开发一种计算效率高,准确的方法来计算主机与客人的相互作用能量.
- 为了加快对大型蛋白质连接体复合物的分析.
主要方法:
- 提出了一种异质加速的降低分子中的集群 (CIM) 局部相关性方法.
- 实现了CIM与身份解析的第二阶Møller-Plesset扰动 (CIM-RI-MP2) 和自旋组件缩放的变体 (CIM-SCS-RI-MP2).
- 开发了一个异质的并行版本,以提高计算效率.
主要成果:
- 与完全CIM相比,减少CIM实现了超过48%的时间节省,误差<0.5kcal/mol.
- 不同质的并行实现了>93%的内部节点和>98%的多GPU效率.
- 对大型系统 (高达1425个原子) 的计算只需要4.3-22.8%的集群,在单个节点上在2天内完成.
结论:
- 硬件加速的降低CIM方法准确计算大型主机-客户系统的相互作用能量.
- 以CIM域为基础的局部对自然轨道合集群的简化方法,其中包括单,双和扰动三重集群[CIM-DLPNO-CCSD(T]方法对大型系统有效.
- 这种方法显著提高了研究复杂分子相互作用的可行性.
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