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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.
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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.
5
Doubly Polarized QM/MM with Machine Learning Chaperone Polarizability.
J Chem Theory Comput. 2021 Dec 14;17(12):7682-7695. doi: 10.1021/acs.jctc.1c00567. Epub 2021 Nov 1.
7
Toward Determining ATPase Mechanism in ABC Transporters: Development of the Reaction Path-Force Matching QM/MM Method.
Methods Enzymol. 2016;577:185-212. doi: 10.1016/bs.mie.2016.05.054. Epub 2016 Jul 1.
8
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.
9
QM/MM Minimum Free Energy Path: Methodology and Application to Triosephosphate Isomerase.
J Chem Theory Comput. 2007 Mar;3(2):390-406. doi: 10.1021/ct600240y.

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1
Perspectives on Computational Enzyme Modeling: From Mechanisms to Design and Drug Development.
ACS Omega. 2024 Feb 8;9(7):7393-7412. doi: 10.1021/acsomega.3c09084. eCollection 2024 Feb 20.
2
Free Energy Profile Decomposition Analysis for QM/MM Simulations of Enzymatic Reactions.
J Chem Theory Comput. 2023 Nov 28;19(22):8234-8244. doi: 10.1021/acs.jctc.3c00973. Epub 2023 Nov 9.
4
Machine learning based implicit solvent model for aqueous-solution alanine dipeptide molecular dynamics simulations.
RSC Adv. 2023 Feb 3;13(7):4565-4577. doi: 10.1039/d2ra08180f. eCollection 2023 Jan 31.
5
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.
6
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.
8
Doubly Polarized QM/MM with Machine Learning Chaperone Polarizability.
J Chem Theory Comput. 2021 Dec 14;17(12):7682-7695. doi: 10.1021/acs.jctc.1c00567. Epub 2021 Nov 1.
10
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.

本文引用的文献

2
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.
3
Machine Learning in QM/MM Molecular Dynamics Simulations of Condensed-Phase Systems.
J Chem Theory Comput. 2021 May 11;17(5):2641-2658. doi: 10.1021/acs.jctc.0c01112. Epub 2021 Apr 5.
4
Biomolecular QM/MM Simulations: What Are Some of the "Burning Issues"?
J Phys Chem B. 2021 Jan 28;125(3):689-702. doi: 10.1021/acs.jpcb.0c09898. Epub 2021 Jan 6.
8
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.
9
Accelerating QM/MM Free Energy Computations via Intramolecular Force Matching.
J Chem Theory Comput. 2018 Dec 11;14(12):6327-6335. doi: 10.1021/acs.jctc.8b00517. Epub 2018 Nov 15.
10
Generating Converged Accurate Free Energy Surfaces for Chemical Reactions with a Force-Matched Semiempirical Model.
J Chem Theory Comput. 2018 Apr 10;14(4):2207-2218. doi: 10.1021/acs.jctc.7b01266. Epub 2018 Mar 22.

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