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Case Studies of ONIOM(DFT:DFTB) and ONIOM(DFT:DFTB:MM) for Enzymes and Enzyme Mimics

机译:酶和酶模拟物的ONIOM(DFT:DFTB)和ONIOM(DFT:DFTB:MM)的案例研究

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摘要

The replacement of standard molecular mechanics force fields by inexpensive molecular orbital (QM') methods in multiscale models has many advantages, e.g., a more straightforward description of mutual polarization and charge transfer between layers. The ONIOM(QM:QM') scheme with mechanical embedding can combine any two methods without prior parametrization or significant coding effort. In this scheme, the environmental effect is evaluated fully at the QM' level, and the accuracy therefore depends on how well the low-level QM' method describes the changes in electron density of the reacting region. To examine the applicability of the QM:QM' approach, we perform case studies with density-functional tight-binding (DFTB) as the low-level QM' method in two-layer ONIOM(B3LYP/6-31G(d):DFTB) models. The investigated systems include simple amino acid models one nonheme iron enzyme mimic, and the enzymatic reactions of Zn-beta-lactamase and trypsin. For the last example, we also illustrate the use of a three-layer ONIOM(B3LYP/6-31G(d):D::TB:Amber96) model. The ONIOM extension, compared to the QM calculation for the small model system, improves the relative energies, but high accuracy (deviations below 1 kcal/mol) is not achieved even with relatively large QM models. Polarization effects are fairly well described using DFTB, but in some cases QM and QM' methods converge to different electronk: states. We discuss when the QM:QM' approach is appropriate and the possibilities of estimating the quality of the ONIOM extension without having to make explicit benchmarks of the entire system.
机译:在多尺度模型中用便宜的分子轨道(QM')方法代替标准分子力学力场具有许多优点,例如,更容易描述层间的相互极化和电荷转移。具有机械嵌入功能的ONIOM(QM:QM')方案可以组合任何两种方法,而无需事先进行参数化或进行大量编码工作。在此方案中,在QM'级别上完全评估了环境效应,因此精度取决于低级别QM'方法描述反应区电子密度变化的程度。为了检验QM:QM'方法的适用性,我们在两层ONIOM(B3LYP / 6-31G(d):DFTB)中以密度泛函紧密结合(DFTB)作为低级QM'方法进行了案例研究) 楷模。研究的系统包括一种简单的氨基酸模型,一种非血红素铁酶模拟物,以及Zn-β-内酰胺酶和胰蛋白酶的酶促反应。对于最后一个示例,我们还说明了三层ONIOM(B3LYP / 6-31G(d):D :: TB:Amber96)模型的使用。与小型模型系统的QM计算相比,ONIOM扩展可改善相对能量,但即使使用相对较大的QM模型,也无法实现高精度(偏差低于1 kcal / mol)。使用DFTB可以很好地描述极化效应,但是在某些情况下,QM和QM'方法收敛到不同的电子状态。我们将讨论何时使用QM:QM的方法是合适的,以及在无需对整个系统进行明确基准测试的情况下估算ONIOM扩展质量的可能性。

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