对金属酶反应的强相关性纠正区间分离局部混合函数的评估
Andrew M M Kai1, Tiffany T Nguyen1, Robin Grotjahn1
1Department of Chemistry & Biochemistry, Santa Clara University, 500 El Camino Real, Santa Clara, California 95053, United States.
该研究引入范围分离的局部混合体 (RSLHs) 和强相关性校正的RSLHs (scRSLHs) 来建模金属酶活性位点,scRSLH ωLH23tdB-D4达到最佳准确性. 这项工作突出了电子结构计算功能设计的系统改进.
科学领域:
- 计算化学计算化学
- 量子化学 是一个量子化学.
- 理论化学 理论化学
背景情况:
- 准确地建模金属酶活性位点对于密度函数理论 (DFT) 来说至关重要但具有挑战性.
- 像MME55这样的现有基准为大型金属酶模型提供高级参考数据.
- 之前的高性能功能包括MPW1B95-D3 ((BJ) 和 ωB97M-V.
研究的目的:
- 为了评估范围分离的局部杂交物 (RSLHs) 和强相关性校正的RSLHs (scRSLHs) 用于金属酶活性部位建模.
- 在酶反应基准 (ENZYMES22和ECR20) 上评估scRSLH的性能.
- 提供scRSLHs实际实用性的批判性评估,包括计算成本和实施细节.
主要方法:
- 测试RSLHs和scRSLHs与DLPNO-CCSD(T) /CBS参考值的MME55基准进行了测试.
- 在ENZYMES22和ECR20数据集上评估了函数,为ECR20获得了新的CCSD (T) /CBS参考值.
- 在Turbomole中分析了电网依赖性,计算成本和scRSLHs的并行缩放.
主要成果:
- 在MME55.5上,scRSLH ωLH23tdB-D4获得了2.46 kcal/mol的最低平均绝对误差 (MAE).
- ωLH23tdB-D4在ENZYMES22 (MAE 1.45 kcal/mol) 和ECR20 (MAE 0.63 kcal/mol) 上也表现出色.
- 精度的改进来自于功能设计,超出了现实空间非动态相关模型.
结论:
- scRSLHs代表了用于金属酶活性部位建模的DFT的重大进步.
- ωLH23tdB-D4是这些具有挑战性的系统和反应能量基准的高性能功能.
- 这项研究为新出现的scRSLH函数的实际应用和性能提供了宝贵的见解.
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