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Nakata H, Fedorov DG. Analytic Gradient for Time-Dependent Density Functional Theory Combined with the Fragment Molecular Orbital Method. J Chem Theory Comput 2023; 19:1276-1285. [PMID: 36753486 DOI: 10.1021/acs.jctc.2c01177] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
The analytic energy gradient of energy with respect to nuclear coordinates is derived for the fragment molecular orbital (FMO) method combined with time-dependent density functional theory (TDDFT). The response terms arising from the use of a polarizable embedding are derived. The obtained analytic FMO-TDDFT gradient is shown to be accurate in comparison to both numerical FMO-TDDFT and unfragmented TDDFT gradients, at the level of two- and three-body expansions. The gradients are used for geometry optimizations, molecular dynamics, vibrational calculations, and simulations of IR and Raman spectra of excited states. The developed method is used to optimize the geometry of the ground and excited electronic states of the photoactive yellow protein (PDB: 2PHY).
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Affiliation(s)
- Hiroya Nakata
- Department of Chemistry, Kyungpook National University, Daegu 41566, South Korea
| | - Dmitri G Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba 305-8568, Japan
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2
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Bozkaya U, Ermiş B. Linear-Scaling Systematic Molecular Fragmentation Approach for Perturbation Theory and Coupled-Cluster Methods. J Chem Theory Comput 2022; 18:5349-5359. [PMID: 35972734 PMCID: PMC9476663 DOI: 10.1021/acs.jctc.2c00587] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
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The coupled-cluster (CC) singles and doubles with perturbative
triples [CCSD(T)] method is frequently referred to as the “gold
standard” of modern computational chemistry. However, the high
computational cost of CCSD(T) [O(N7)], where N is the number of basis functions,
limits its applications to small-sized chemical systems. To address
this problem, efficient implementations of linear-scaling coupled-cluster
methods, which employ the systematic molecular fragmentation (SMF)
approach, are reported. In this study, we aim to do the following:
(1) To achieve exact linear scaling and to obtain a pure ab
initio approach, we revise the handling of nonbonded interactions
in the SMF approach, denoted by LSSMF. (2) A new fragmentation algorithm,
which yields smaller-sized fragments, that better fits high-level
CC methods is introduced. (3) A modified nonbonded fragmentation scheme
is proposed to enhance the existent algorithm. Performances of the
LSSMF-CC approaches, such as LSSMF-CCSD(T), are compared with their
canonical versions for a set of alkane molecules, CnH2n+2 (n = 6–10),
which includes 142 molecules. Our results demonstrate that the LSSMF
approach introduces negligible errors compared with the canonical
methods; mean absolute errors (MAEs) are between 0.20 and 0.59 kcal
mol–1 for LSSMF(3,1)-CCSD(T). For a larger alkanes
set (L12), CnH2n+2 (n = 50–70), the performance of
LSSMF for the second-order perturbation theory (MP2) is investigated.
For the L12 set, various bonded and nonbonded levels are considered.
Our results demonstrate that the combination of bonded level 6 with
nonbonded level 2, LSSMF(6,2), provides very accurate results for
the MP2 method with a MAE value of 0.32 kcal mol–1. The LSSMF(6,2) approach yields more than a 26-fold reduction in
errors compared with LSSMF(3,1). Hence, we obtain substantial improvements
over the original SMF approach. To illustrate the efficiency and applicability
of the LSSMF-CCSD(T) approach, we consider an alkane molecule with
10,004 atoms. For this molecule, the LSSMF(3,1)-CCSD(T)/cc-pVTZ energy
computation, on a Linux cluster with 100 nodes, 4 cores, and 5 GB
of memory provided to each node, is performed just in ∼24 h.
As a second test, we consider a biomolecular complex (PDB code: 1GLA), which includes
10,488 atoms, to assess the efficiency of the LSSMF approach. The
LSSMF(3,1)-FNO–CCSD(T)/cc-pVTZ energy computation is completed
in ∼7 days for the biomolecular complex. Hence, our results
demonstrate that the LSSMF-CC approaches are very efficient. Overall,
we conclude the following: (1) The LSSMF(m, n)-CCSD(T) methods can be reliably used for large-scale
chemical systems, where the canonical methods are not computationally
affordable. (2) The accuracy of bonded level 3 is not satisfactory
for large chemical systems. (3) For high-accuracy studies, bonded
level 5 (or higher) and nonbonded level 2 should be employed.
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Affiliation(s)
- Uğur Bozkaya
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Betül Ermiş
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
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3
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Masoumifeshani E, Chojecki M, Korona T. Electronic Correlation Contribution to the Intermolecular Interaction Energy from Symmetrized Systematic Molecular Fragmentation Model. COMPUT THEOR CHEM 2022. [DOI: 10.1016/j.comptc.2022.113684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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4
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Bozkaya U, Ermiş B, Alagöz Y, Ünal A, Uyar AK. MacroQC 1.0: An electronic structure theory software for large-scale applications. J Chem Phys 2022; 156:044801. [DOI: 10.1063/5.0077823] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Uğur Bozkaya
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Betül Ermiş
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Yavuz Alagöz
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Aslı Ünal
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
| | - Ali Kaan Uyar
- Department of Chemistry, Hacettepe University, Ankara 06800, Turkey
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5
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Symmetrized systematic molecular fragmentation model and its application for molecular properties. COMPUT THEOR CHEM 2021. [DOI: 10.1016/j.comptc.2021.113303] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Abstract
High-order charge transfer is incorporated into the fragment molecular orbital (FMO) method using a charge transfer state with fractional charges. This state is used for a partition analysis of properties based on segments that may be different from fragments in FMO. The partition analysis is also formulated for calculations without fragmentation. All development in this work is limited to density-functional tight-binding. The analysis is applied to a water cluster, crambin (PDB: 1CBN), and two complexes of Trp-cage (1L2Y) with ligands. The contributions of functional groups in ligands are obtained, providing useful information for drug discovery.
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Affiliation(s)
- Dmitri G Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba 305-8568, Japan
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7
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Fedorov DG. Three-Body Energy Decomposition Analysis Based on the Fragment Molecular Orbital Method. J Phys Chem A 2020; 124:4956-4971. [DOI: 10.1021/acs.jpca.0c03085] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Dmitri G. Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba 305-8568, Japan
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8
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Chen J, Chan B, Shao Y, Ho J. How accurate are approximate quantum chemical methods at modelling solute-solvent interactions in solvated clusters? Phys Chem Chem Phys 2020; 22:3855-3866. [PMID: 32022044 PMCID: PMC7394230 DOI: 10.1039/c9cp06792b] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In this paper, the performance of a wide range of DFT methods is assessed for the calculation of interaction energies of thermal clusters of a solute in water. Three different charge states (neutral, proton transfer transition state and zwitterion) of glycine were solvated by 1 to 40 water molecules as sampled from molecular dynamics simulations. While some ab initio composite methods that employ insufficiently large basis sets incurred significant errors even for a cluster containing only 5 water molecules relative to the W1X-2 benchmark, the DLPNO-CCSD(T)/CBS and DSD-PBEP86 (triple zeta basis set) levels of theory predicted very accurate interaction energies. These levels of theory were used to benchmark the performance of 16 density functionals from different rungs of Jacob's Ladder. Of the Rung 4 functionals examined, the ωB97M-V and ωB97X-V functionals stood out for predicting absolute interaction energies in 40-water clusters with mean absolute deviations (MAD) ∼4 kJ mol-1. The B3LYP-D3(BJ) functional performed exceptionally well with a MAD ∼1.7 kJ mol-1 and is the overall best performing method. Calculations of relative interaction energies allow for cancellation of systematic errors, including basis set truncation and superposition errors, and the ωB97M-V and B3LYP-D3(BJ) double zeta basis set calculations yielded relative interaction energies that are within ∼3 kJ mol-1 of the benchmark. The ONIOM approximation provides another strategy for accelerating the calculation of accurate absolute interaction energies provided that the calculations have converged with respect to the size of the "high-level-layer".
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Affiliation(s)
- Junbo Chen
- School of Chemistry, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Bun Chan
- Graduate School of Engineering, Nagasaki University, Bunkyo-Machi 1-14, Nagasaki 852-8521, Japan.
| | - Yihan Shao
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Junming Ho
- School of Chemistry, University of New South Wales, Sydney, NSW 2052, Australia.
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Kaliakin DS, Fedorov DG, Alexeev Y, Varganov SA. Locating Minimum Energy Crossings of Different Spin States Using the Fragment Molecular Orbital Method. J Chem Theory Comput 2019; 15:6074-6084. [DOI: 10.1021/acs.jctc.9b00641] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Danil S. Kaliakin
- Department of Chemistry, University of Nevada, Reno, 1664 N. Virginia Street, Reno, Nevada 89557-0216, United States
| | - Dmitri G. Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba 305-8568, Japan
| | - Yuri Alexeev
- Computational Science Division and Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne, Illinois 60439, United States
| | - Sergey A. Varganov
- Department of Chemistry, University of Nevada, Reno, 1664 N. Virginia Street, Reno, Nevada 89557-0216, United States
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10
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Fedorov DG. Solvent Screening in Zwitterions Analyzed with the Fragment Molecular Orbital Method. J Chem Theory Comput 2019; 15:5404-5416. [PMID: 31461277 DOI: 10.1021/acs.jctc.9b00715] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Based on induced solvent charges, a new model of solvent screening is developed in the framework of the fragment molecular orbital combined with the polarizable continuum model. The developed model is applied to analyze interactions in a prototypical zwitterionic system, sodium chloride in water, and it is shown that the large underestimation of the interaction in the original solvent screening based on local charges is successfully corrected. The model is also applied to a complex of the Trp-cage (PDB: 1L2Y ) miniprotein with an anionic ligand, and the physical factors determined protein-ligand binding in solution are unraveled.
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Affiliation(s)
- Dmitri G Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat) , National Institute of Advanced Industrial Science and Technology (AIST) , Central 2, Umezono 1-1-1 , Tsukuba 305-8568 , Japan
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11
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Fedorov DG, Brekhov A, Mironov V, Alexeev Y. Molecular Electrostatic Potential and Electron Density of Large Systems in Solution Computed with the Fragment Molecular Orbital Method. J Phys Chem A 2019; 123:6281-6290. [DOI: 10.1021/acs.jpca.9b04936] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Dmitri G. Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba, 305-8568, Japan
| | - Anton Brekhov
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russian Federation
| | - Vladimir Mironov
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russian Federation
| | - Yuri Alexeev
- Argonne Leadership Computing Facility and Computational Science Division, Argonne National Laboratory, Argonne, Illinois, 60439, United States
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Tolosa S, Sansón J, Hidalgo A. Theoretical study of mechanisms for double proton transfer in adenine–uracil base pair via steered molecular dynamic simulations. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.06.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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13
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Empirical corrections and pair interaction energies in the fragment molecular orbital method. Chem Phys Lett 2018. [DOI: 10.1016/j.cplett.2018.06.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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14
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Fedorov DG. Analysis of solute-solvent interactions using the solvation model density combined with the fragment molecular orbital method. Chem Phys Lett 2018. [DOI: 10.1016/j.cplett.2018.05.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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15
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Nishimoto Y, Fedorov DG. Adaptive frozen orbital treatment for the fragment molecular orbital method combined with density-functional tight-binding. J Chem Phys 2018; 148:064115. [DOI: 10.1063/1.5012935] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Yoshio Nishimoto
- Fukui Institute for Fundamental Chemistry, Kyoto University, 34-4 Takano Nishihiraki-cho, Sakyo-ku, Kyoto 606-8103, Japan
| | - Dmitri G. Fedorov
- Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan
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16
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Fedorov DG, Kitaura K. Pair Interaction Energy Decomposition Analysis for Density Functional Theory and Density-Functional Tight-Binding with an Evaluation of Energy Fluctuations in Molecular Dynamics. J Phys Chem A 2018; 122:1781-1795. [DOI: 10.1021/acs.jpca.7b12000] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Dmitri G. Fedorov
- Research
Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba 305-8568, Japan
| | - Kazuo Kitaura
- Advanced
Institute for Computational Science (AICS), RIKEN, 7-1-26 Minatojima-Minami-Machi,
Chuo-ku, Kobe, Hyogo 650-0047, Japan
- Fukui
Institute for Fundamental Chemistry, Kyoto University, Takano-Nishihiraki-cho
34-4, Sakyou-ku, Kyoto 606-8103, Japan
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