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Nakata H, Kitoh-Nishioka H, Sakai W, Choi CH. Toward Accurate Prediction of Ion Mobility in Organic Semiconductors by Atomistic Simulation. J Chem Theory Comput 2023; 19:1517-1528. [PMID: 36757219 DOI: 10.1021/acs.jctc.2c01221] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
A multiscale scheme (MLMS: Multi-Level Multi-Scale) to predict the ion mobility (μ) of amorphous organic semiconductors is proposed, which was successfully applied to the hole mobility predictions of 14 organic systems. An inverse relationship between μ and reorganization energy is observed due to local polaronic distortions. Another moderate inverse correlation between μ and distribution of site energy change exists, representing the effects of geometric flexibility. The former and the latter represent the intramolecular and intermolecular geometric effects, respectively. In addition, a linear correlation between transfer coupling and μ is observed, showing the importance of orbital overlaps between monomers. Especially, the highest hole mobility of C6-2TTN is due to its large transfer coupling. On the other hand, another high hole mobility of CBP turned out to come from the high first neighbor density (ρFND) of its first self-solvation, emphasizing the proper description of amorphous structural configurations with a sufficiently large number of monomers. In general, systems with either unusually high transfer coupling or high first neighbor density can potentially have high μ regardless of geometric effects. Especially, the newly suggested design parameter, ρFND, is pointing to a new direction as opposed to the traditional π-conjugation strategy.
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Affiliation(s)
- Hiroya Nakata
- Research Institute for Advanced Materials and Devices, Kyocera Corporation, 3-5-3 Hikaridai Seika-cho, Soraku-gun, Kyoto 619-0237, Japan
| | - Hirotaka Kitoh-Nishioka
- Department of Energy and Materials, Faculty of Science and Engineering, Kindai University, 3 Chome-4-1 Kowakae, Higashiosaka, Osaka 577-8502, Japan
| | - Wakana Sakai
- Research Institute for Advanced Materials and Devices, Kyocera Corporation, 3-5-3 Hikaridai Seika-cho, Soraku-gun, Kyoto 619-0237, Japan
| | - Cheol Ho Choi
- Department of Chemistry, Kyungpook National University, Daegu 41566, South Korea
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2
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Effects of chelate ligands containing NN, PN, and PP on the performance of half-sandwich ruthenium metal complexes as sensitizers in dye sensitized solar cells (DSSCs): quantum chemical investigation. Polyhedron 2022. [DOI: 10.1016/j.poly.2022.116190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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3
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Morado J, Mortenson PN, Nissink JWM, Verdonk ML, Ward RA, Essex JW, Skylaris CK. Generation of Quantum Configurational Ensembles Using Approximate Potentials. J Chem Theory Comput 2021; 17:7021-7042. [PMID: 34644088 DOI: 10.1021/acs.jctc.1c00532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Conformational analysis is of paramount importance in drug design: it is crucial to determine pharmacological properties, understand molecular recognition processes, and characterize the conformations of ligands when unbound. Molecular Mechanics (MM) simulation methods, such as Monte Carlo (MC) and molecular dynamics (MD), are usually employed to generate ensembles of structures due to their ability to extensively sample the conformational space of molecules. The accuracy of these MM-based schemes strongly depends on the functional form of the force field (FF) and its parametrization, components that often hinder their performance. High-level methods, such as ab initio MD, provide reliable structural information but are still too computationally expensive to allow for extensive sampling. Therefore, to overcome these limitations, we present a multilevel MC method that is capable of generating quantum configurational ensembles while keeping the computational cost at a minimum. We show that FF reparametrization is an efficient route to generate FFs that reproduce QM results more closely, which, in turn, can be used as low-cost models to achieve the gold standard QM accuracy. We demonstrate that the MC acceptance rate is strongly correlated with various phase space overlap measurements and that it constitutes a robust metric to evaluate the similarity between the MM and QM levels of theory. As a more advanced application, we present a self-parametrizing version of the algorithm, which combines sampling and FF parametrization in one scheme, and apply the methodology to generate the QM/MM distribution of a ligand in aqueous solution.
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Affiliation(s)
- João Morado
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom
| | - Paul N Mortenson
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom
| | - J Willem M Nissink
- Medicinal Chemistry, Oncology R&D, AstraZeneca, Cambridge CB4 0WG, United Kingdom
| | - Marcel L Verdonk
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom
| | - Richard A Ward
- Medicinal Chemistry, Oncology R&D, AstraZeneca, Cambridge CB4 0WG, United Kingdom
| | - Jonathan W Essex
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom
| | - Chris-Kriton Skylaris
- School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom
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4
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Li W, Dong H, Ma J, Li S. Structures and Spectroscopic Properties of Large Molecules and Condensed-Phase Systems Predicted by Generalized Energy-Based Fragmentation Approach. Acc Chem Res 2021; 54:169-181. [PMID: 33350806 DOI: 10.1021/acs.accounts.0c00580] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
ConspectusThe structures and spectroscopic properties of molecules and condensed-phase systems are usually experimentally characterized by X-ray, infrared (IR), Raman, nuclear magnetic resonance (NMR), and electronic absorption/emission spectra. Quantum mechanics (QM) calculations are critical in quantitatively understanding the relationship between the structure and physicochemical properties of various chemical systems. However, it is very challenging to apply traditional QM methods to large molecules and condensed-phase systems with large unit cells due to their steep computational scaling with the system size. To overcome this difficulty, theoretical chemists have developed various linear (or low) scaling QM methods, among which energy-based fragmentation methods have achieved great success for large molecules or clusters. One of the most popular energy-based fragmentation methods is the generalized energy-based fragmentation (GEBF) approach developed by us.In this approach, the ground-state energy of a large molecule can be evaluated from the ground-state energies of a series of embedded subsystems. In this Account, we focus on the recent developments and applicability of the GEBF approach for the structures and spectroscopic properties of complicated large molecules and condensed-phase systems. With new fragmentation schemes, the GEBF approach can now describe ionic liquid clusters and metal-containing supramolecular systems accurately and can provide accurate binding energies for host-guest complexes. In addition, the GEBF approach is now available for describing the localized excited states of large systems including a chromophore. More importantly, the GEBF approach under periodic boundary conditions (PBC-GEBF) has been developed to deal with periodic molecular crystals and liquids. Then, the ground-state energy (or property) per unit cell of a periodic condensed phase system can be predicted with QM calculations on nonperiodic embedded subsystems. This feature enables accurate electron correlation calculations on molecular crystals and liquids to be feasible on ordinary workstations. The PBC-GEBF approach has been applied to predict the crystal structures, lattice energies, and spectroscopic properties of some typical molecular crystals and solutions. By combining the GEBF method and machine learning (ML) method, a GEBF-ML force field has been developed for long normal alkanes, and the IR spectra of long alkanes can be obtained from the GEBF-ML molecular dynamics (MD) simulations. The GEBF and its periodic variant are expected to play increasingly important roles in investigating real-life chemical systems of broad interests at the ab initio levels.
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Affiliation(s)
- Wei Li
- Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Hao Dong
- Kuang Yaming Honors School and Institute for Brain Sciences, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Jing Ma
- Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Shuhua Li
- Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Republic of China
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Abstract
Since the introduction of the fragment molecular orbital method 20 years ago, fragment-based approaches have occupied a small but growing niche in quantum chemistry. These methods decompose a large molecular system into subsystems small enough to be amenable to electronic structure calculations, following which the subsystem information is reassembled in order to approximate an otherwise intractable supersystem calculation. Fragmentation sidesteps the steep rise (with respect to system size) in the cost of ab initio calculations, replacing it with a distributed cost across numerous computer processors. Such methods are attractive, in part, because they are easily parallelizable and therefore readily amenable to exascale computing. As such, there has been hope that distributed computing might offer the proverbial "free lunch" in quantum chemistry, with the entrée being high-level calculations on very large systems. While fragment-based quantum chemistry can count many success stories, there also exists a seedy underbelly of rarely acknowledged problems. As these methods begin to mature, it is time to have a serious conversation about what they can and cannot be expected to accomplish in the near future. Both successes and challenges are highlighted in this Perspective.
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Affiliation(s)
- John M Herbert
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA
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Liu J, Rana B, Liu KY, Herbert JM. Variational Formulation of the Generalized Many-Body Expansion with Self-Consistent Charge Embedding: Simple and Correct Analytic Energy Gradient for Fragment-Based ab Initio Molecular Dynamics. J Phys Chem Lett 2019; 10:3877-3886. [PMID: 31251619 DOI: 10.1021/acs.jpclett.9b01214] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The many-body expansion (MBE) and its extension to overlapping fragments, the generalized (G)MBE, constitute the theoretical basis for most fragment-based approaches for large-scale quantum chemistry. We reformulate the GMBE for use with embedding charges determined self-consistently from the fragment wave functions, in a manner that preserves the variational nature of the underlying self-consistent field method. As a result, the analytic gradient retains the simple "sum of fragment gradients" form that is often assumed in practice, sometimes incorrectly. This obviates (without approximation) the need to solve coupled-perturbed equations, and we demonstrate stable, fragment-based ab initio molecular dynamics simulations using this technique. Energy conservation fails when charge-response contributions to the Fock matrix are neglected, even while geometry optimizations and vibrational frequency calculations may yet be accurate. Stable simulations can be recovered by means of straightforward modifications introduced here, providing a general paradigm for fragment-based ab initio molecular dynamics.
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Affiliation(s)
- Jie Liu
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Bhaskar Rana
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - Kuan-Yu Liu
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
| | - John M Herbert
- Department of Chemistry and Biochemistry , The Ohio State University , Columbus , Ohio 43210 , United States
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7
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Maffeo C, Chou HY, Aksimentiev A. Molecular Mechanisms of DNA Replication and Repair Machinery: Insights from Microscopic Simulations. ADVANCED THEORY AND SIMULATIONS 2019; 2:1800191. [PMID: 31728433 PMCID: PMC6855400 DOI: 10.1002/adts.201800191] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Indexed: 12/15/2022]
Abstract
Reproduction, the hallmark of biological activity, requires making an accurate copy of the genetic material to allow the progeny to inherit parental traits. In all living cells, the process of DNA replication is carried out by a concerted action of multiple protein species forming a loose protein-nucleic acid complex, the replisome. Proofreading and error correction generally accompany replication but also occur independently, safeguarding genetic information through all phases of the cell cycle. Advances in biochemical characterization of intracellular processes, proteomics and the advent of single-molecule biophysics have brought about a treasure trove of information awaiting to be assembled into an accurate mechanistic model of the DNA replication process. In this review, we describe recent efforts to model elements of DNA replication and repair processes using computer simulations, an approach that has gained immense popularity in many areas of molecular biophysics but has yet to become mainstream in the DNA metabolism community. We highlight the use of diverse computational methods to address specific problems of the fields and discuss unexplored possibilities that lie ahead for the computational approaches in these areas.
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Affiliation(s)
- Christopher Maffeo
- Department of Physics, Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign,1110 W Green St, Urbana, IL 61801, USA
| | - Han-Yi Chou
- Department of Physics, Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign,1110 W Green St, Urbana, IL 61801, USA
| | - Aleksei Aksimentiev
- Department of Physics, Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign,1110 W Green St, Urbana, IL 61801, USA
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8
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Yuan D, Li Y, Li W, Li S. Structures and properties of large supramolecular coordination complexes predicted with the generalized energy-based fragmentation method. Phys Chem Chem Phys 2018; 20:28894-28902. [DOI: 10.1039/c8cp05548c] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The generalized energy-based fragmentation (GEBF) method has been extended to facilitate ab initio calculations of large supramolecular coordination complexes.
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Affiliation(s)
- Dandan Yuan
- School of Chemistry and Chemical Engineering
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education
- Institute of Theoretical and Computational Chemistry
- Nanjing University
- Nanjing 210023
| | - Yunzhi Li
- School of Chemistry and Chemical Engineering
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education
- Institute of Theoretical and Computational Chemistry
- Nanjing University
- Nanjing 210023
| | - Wei Li
- School of Chemistry and Chemical Engineering
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education
- Institute of Theoretical and Computational Chemistry
- Nanjing University
- Nanjing 210023
| | - Shuhua Li
- School of Chemistry and Chemical Engineering
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education
- Institute of Theoretical and Computational Chemistry
- Nanjing University
- Nanjing 210023
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9
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Nishimura Y, Nakai H. Parallel implementation of efficient charge-charge interaction evaluation scheme in periodic divide-and-conquer density-functional tight-binding calculations. J Comput Chem 2017; 39:105-116. [DOI: 10.1002/jcc.25086] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/01/2017] [Accepted: 10/02/2017] [Indexed: 01/05/2023]
Affiliation(s)
- Yoshifumi Nishimura
- Research Institute for Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku; Tokyo 169-8555 Japan
| | - Hiromi Nakai
- Research Institute for Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku; Tokyo 169-8555 Japan
- Department of Chemistry and Biochemistry, School of Advanced Science and Engineering; Waseda University, 3-4-1 Okubo, Shinjuku-ku; Tokyo 169-8555 Japan
- CREST, Japan Science and Technology Agency, 4-1-8 Honcho; Kawaguchi 332-0012 Japan
- ESICB, Kyoto University, Kyotodaigaku-Katsura; Kyoto 615-8520 Japan
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10
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Bourouina A, Rekhis M, Trari M. DFT/TD-DFT study of ruthenium bipyridyl-based dyes with a chalcogen donor (X = S, Se, Te), for application as dye-sensitized solar cells. Polyhedron 2017. [DOI: 10.1016/j.poly.2017.01.061] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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11
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Nakata H, Fedorov DG. Efficient Geometry Optimization of Large Molecular Systems in Solution Using the Fragment Molecular Orbital Method. J Phys Chem A 2016; 120:9794-9804. [DOI: 10.1021/acs.jpca.6b09743] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hiroya Nakata
- Department
of Fundamental Technology Research, R and D Center Kagoshima, Kyocera, 1-4 Kokubu Yamashita-cho, Kirishima-shi, Kagoshima 899-4312, Japan
| | - Dmitri G. Fedorov
- Research
Center for Computational Design of Advanced Functional Materials, National Institute of Advanced Industrial Science and Technology, 1-1-1
Umezono, Tsukuba, Ibaraki 305-8568, Japan
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12
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Li W, Li Y, Lin R, Li S. Generalized Energy-Based Fragmentation Approach for Localized Excited States of Large Systems. J Phys Chem A 2016; 120:9667-9677. [DOI: 10.1021/acs.jpca.6b11193] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wei Li
- Institute of Theoretical
and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry
of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Repubic of China
| | - Yunzhi Li
- Institute of Theoretical
and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry
of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Repubic of China
| | - Ruochen Lin
- Institute of Theoretical
and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry
of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Repubic of China
| | - Shuhua Li
- Institute of Theoretical
and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry
of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People’s Repubic of China
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13
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Liu P, Li W, Kan Z, Sun H, Ma J. Factor Analysis of Conformations and NMR Signals of Rotaxanes: AIMD and Polarizable MD Simulations. J Phys Chem A 2016; 120:490-502. [PMID: 26756354 DOI: 10.1021/acs.jpca.5b10085] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The interlocked ⟨rod | ring⟩ structures of pseudorotaxanes and [2]rotaxanes are usually maintained by the complex hydrogen-bonding (H-bonding) network between the rod and ring. Ab initio molecular dynamics (AIMD) using generalized energy-based fragmentation approach and polarizable force field (polar FF)-based molecular dynamics (MD) simulations were performed to investigate the conformational changes of mechanically interlocked systems and to obtain the ensemble-averaged NMR chemical shifts. Factor analysis (FA) demonstrates that the ring H-donor (2,6 pyridinedicarboxamide group) plays an important role in the ring-rod recognition. In comparison to the conventional fixed-charge force field, the polarization effect is crucial to account for the H-bonding interactions in supramolecular systems. In the hybrid scheme, the polar FF-based MD simulations are used to generate different initial states for the AIMD simulations, which are able to give better prediction of ensemble-averaged NMR signals for chemically equivalent amide protons. The magnitude of the deshielding shift of NMR signal is correlated with the length of hydrogen bond. The polar FF model with variable charges shows that the dipole-dipole interactions between the flexible diethylene glycol chain of ring and polar solvents induce the upfield shifts of NMR signals of rod H-donors and the directional distribution of the neighboring CH3CN solvents.
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Affiliation(s)
- Pingying Liu
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, Nanjing University , Nanjing 210093, People's Republic of China.,School of Materials Science and Engineering, Jingdezhen Ceramic Institute , Jingdezhen 333403, People's Republic of China
| | - Wei Li
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, Nanjing University , Nanjing 210093, People's Republic of China
| | - Zigui Kan
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, Nanjing University , Nanjing 210093, People's Republic of China
| | - Hui Sun
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, Nanjing University , Nanjing 210093, People's Republic of China
| | - Jing Ma
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, Nanjing University , Nanjing 210093, People's Republic of China
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