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大分子缔合反应自由能贡献的高效计算

Efficient Computation of Free Energy Contributions for Association Reactions of Large Molecules.

作者信息

Spicher Sebastian, Grimme Stefan

机构信息

Mulliken Center for Theoretical Chemistry, Institute for Physical and Theoretical Chemistry, University of Bonn, Beringstrasse 4, 53115 Bonn, Germany.

出版信息

J Phys Chem Lett. 2020 Aug 20;11(16):6606-6611. doi: 10.1021/acs.jpclett.0c01930. Epub 2020 Aug 3.

Abstract

Modern density functional theory (DFT) methods are capable of providing accurate association energies for supramolecular systems and even protein-ligand complexes. However, the calculation of the essential harmonic vibrational frequencies needed to obtain free energies is often too computationally demanding. In this work, the corresponding thermostatistical contributions are computed in the well-established (modified) rigid-rotor-harmonic-oscillator approximation with structures and frequencies taken from low-cost quantum chemical methods, namely, GFN2-xTB and PM6-D3H4. Additionally, a recently developed new general force field (GFN-FF) is tested for this purpose. DFT reference values for 59 complexes composed of three standard noncovalent and supramolecular benchmark sets (S22, L7, and S30L) are used in the evaluation. Overall, the accuracy of the low-cost methods is remarkable with typical deviations of only 0.5-2 kcal mol (5-10%) from the DFT reference values. In particular, the performance of the GFN-FF is promising considering the acceleration of 5 and 2-3 orders of magnitude compared to DFT and GFN2-xTB, respectively. This opens new perspectives for computing thermodynamic properties of, e.g., biomacromolecules as shown, for example, for the binding of retinol and rivaroxaban in protein complexes consisting of ≤4700 atoms.

摘要

现代密度泛函理论(DFT)方法能够为超分子体系甚至蛋白质 - 配体复合物提供精确的缔合能。然而,获取自由能所需的基本简谐振动频率的计算通常在计算上要求过高。在这项工作中,相应的热统计贡献是在成熟的(修正的)刚性转子 - 简谐振子近似下计算的,其结构和频率取自低成本量子化学方法,即GFN2 - xTB和PM6 - D3H4。此外,为此测试了一种最近开发的新通用力场(GFN - FF)。评估中使用了由三个标准非共价和超分子基准集(S22、L7和S30L)组成的59个复合物的DFT参考值。总体而言,低成本方法的准确性非常显著,与DFT参考值的典型偏差仅为0.5 - 2千卡/摩尔(5 - 10%)。特别是,考虑到与DFT和GFN2 - xTB相比分别加速了5个和2 - 3个数量级,GFN - FF的性能很有前景。这为计算例如生物大分子的热力学性质开辟了新的前景,如视黄醇和利伐沙班在由≤4700个原子组成的蛋白质复合物中的结合所示。

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