Suppr超能文献

通过半经验参考势能以从头计算量子力学/分子力学精度加速自由能分布的计算。II. 通过力匹配重新校准半经验参数。

Accelerated computation of free energy profile at ab initio quantum mechanical/molecular mechanical accuracy via a semi-empirical reference potential. II. Recalibrating semi-empirical parameters with force matching.

机构信息

Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Pkwy, Norman, OK 73019, USA.

State Key Laboratory of Precision Spectroscopy, School of Physics and Materials Science, East China Normal University, Shanghai 200062, China.

出版信息

Phys Chem Chem Phys. 2019 Oct 7;21(37):20595-20605. doi: 10.1039/c9cp02593f. Epub 2019 Sep 11.

Abstract

An efficient and accurate reference potential simulation protocol is proposed for producing ab initio quantum mechanical/molecular mechanical (AI-QM/MM) quality free energy profiles for chemical reactions in a solvent or macromolecular environment. This protocol involves three stages: (a) using force matching to recalibrate a semi-empirical quantum mechanical (SE-QM) Hamiltonian for the specific reaction under study; (b) employing the recalibrated SE-QM Hamiltonian (in combination with molecular mechanical force fields) as the reference potential to drive umbrella samplings along the reaction pathway; and (c) computing AI-QM/MM energy values for collected configurations from the sampling and performing weighted thermodynamic perturbation to acquire an AI-QM/MM corrected reaction free energy profile. For three model reactions (identity S2 reaction, Menshutkin reaction, and glycine proton transfer reaction) in aqueous solution and one enzyme reaction (Claisen arrangement in chorismate mutase), our simulations using recalibrated PM3 SE-QM Hamiltonians well reproduced QM/MM free energy profiles at the B3LYP/6-31G* level of theory all within 1 kcal mol with a 20 to 45 fold reduction in the computer time.

摘要

提出了一种高效准确的参考势能模拟方案,用于在溶剂或大分子环境中产生用于化学反应的从头量子力学/分子力学(AI-QM/MM)自由能曲线。该方案涉及三个阶段:(a)使用力匹配重新校准特定研究反应的半经验量子力学(SE-QM)哈密顿量; (b)将重新校准的 SE-QM 哈密顿量(与分子力学力场结合使用)作为参考势能,沿反应途径驱动伞形采样; (c)从采样中计算收集配置的 AI-QM/MM 能量值,并进行加权热力学微扰以获得 AI-QM/MM 校正的反应自由能曲线。对于三个模型反应(S2 反应,Menshutkin 反应和甘氨酸质子转移反应)在水溶液中和一个酶反应(色氨酸变位酶中的克莱森重排),我们使用重新校准的 PM3 SE-QM 哈密顿量的模拟很好地再现了 B3LYP/6-31G*理论水平的 QM/MM 自由能曲线,均在 1 kcal/mol 以内,计算机时间减少了 20 到 45 倍。

相似文献

3
Reaction Path-Force Matching in Collective Variables: Determining Ab Initio QM/MM Free Energy Profiles by Fitting Mean Force.
J Chem Theory Comput. 2021 Aug 10;17(8):4961-4980. doi: 10.1021/acs.jctc.1c00245. Epub 2021 Jul 20.
4
Machine-Learning-Assisted Free Energy Simulation of Solution-Phase and Enzyme Reactions.
J Chem Theory Comput. 2021 Sep 14;17(9):5745-5758. doi: 10.1021/acs.jctc.1c00565. Epub 2021 Sep 1.
7
Facilitating QM/MM free energy simulations by Gaussian process regression with derivative observations.
Phys Chem Chem Phys. 2022 Oct 27;24(41):25134-25143. doi: 10.1039/d2cp02820d.

引用本文的文献

1
Machine Learning Quantum Mechanical/Molecular Mechanical Potentials: Evaluating Transferability in Dihydrofolate Reductase-Catalyzed Reactions.
J Chem Theory Comput. 2025 Jan 28;21(2):817-832. doi: 10.1021/acs.jctc.4c01487. Epub 2025 Jan 15.
2
Convergence criteria for single-step free-energy calculations: the relation between the Π bias measure and the sample variance.
Chem Sci. 2024 May 13;15(23):8786-8799. doi: 10.1039/d4sc00140k. eCollection 2024 Jun 12.
3
Free energies at QM accuracy from force fields via multimap targeted estimation.
Proc Natl Acad Sci U S A. 2023 Nov 14;120(46):e2304308120. doi: 10.1073/pnas.2304308120. Epub 2023 Nov 6.
6
Perspective: Reference-Potential Methods for the Study of Thermodynamic Properties in Chemical Processes: Theory, Applications, and Pitfalls.
J Phys Chem Lett. 2023 May 25;14(20):4866-4875. doi: 10.1021/acs.jpclett.3c00671. Epub 2023 May 17.
7
Multireference Generalization of the Weighted Thermodynamic Perturbation Method.
J Phys Chem A. 2022 Nov 17;126(45):8519-8533. doi: 10.1021/acs.jpca.2c06201. Epub 2022 Oct 27.
8
Quantitative Analysis the Weak Non-Covalent Interactions of the Polymorphs of Donepezil.
ACS Omega. 2022 Oct 6;7(41):36434-36440. doi: 10.1021/acsomega.2c04201. eCollection 2022 Oct 18.
9
Facilitating QM/MM free energy simulations by Gaussian process regression with derivative observations.
Phys Chem Chem Phys. 2022 Oct 27;24(41):25134-25143. doi: 10.1039/d2cp02820d.

本文引用的文献

1
Accurate Quantum Chemical Free Energies at Affordable Cost.
J Phys Chem Lett. 2019 Jul 5;10(13):3727-3731. doi: 10.1021/acs.jpclett.9b01301. Epub 2019 Jun 21.
2
Host-Guest Relative Binding Affinities at Density-Functional Theory Level from Semiempirical Molecular Dynamics Simulations.
J Chem Theory Comput. 2019 Apr 9;15(4):2659-2671. doi: 10.1021/acs.jctc.8b01280. Epub 2019 Mar 13.
4
Mapping Free Energy Pathways for ATP Hydrolysis in the ABC Transporter HlyB by the String Method.
Molecules. 2018 Oct 16;23(10):2652. doi: 10.3390/molecules23102652.
5
Exploring the Role of the Third Active Site Metal Ion in DNA Polymerase η with QM/MM Free Energy Simulations.
J Am Chem Soc. 2018 Jul 18;140(28):8965-8969. doi: 10.1021/jacs.8b05177. Epub 2018 Jul 9.
6
Molecular Dynamics Simulations with Quantum Mechanics/Molecular Mechanics and Adaptive Neural Networks.
J Chem Theory Comput. 2018 Mar 13;14(3):1442-1455. doi: 10.1021/acs.jctc.7b01195. Epub 2018 Feb 26.
7
Adaptive Finite Temperature String Method in Collective Variables.
J Phys Chem A. 2017 Dec 28;121(51):9764-9772. doi: 10.1021/acs.jpca.7b10842. Epub 2017 Dec 18.
9
How Many Conformations Need To Be Sampled To Obtain Converged QM/MM Energies? The Curse of Exponential Averaging.
J Chem Theory Comput. 2017 Nov 14;13(11):5745-5752. doi: 10.1021/acs.jctc.7b00826. Epub 2017 Oct 26.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验