The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Extending the Power of Quantum Chemistry to Large Systems with the Fragment Molecular Orbital Method
Abstract
Following the brief review of the modern fragment-based methods and other approaches to perform quantum-mechanical calculations of large systems, the theoretical development of the fragment molecular orbital method (FMO) is covered in detail, with the emphasis on the physical properties, which can be computed with FMO. The FMO-based polarizable continuum model (PCM) for treating the solvent effects in large systems and the pair interaction energy decomposition analysis (PIEDA) are described in some detail, and a range of applications of FMO to biological studies is introduced. The factors determining the relative stability of polypeptide conformers (alpha-helix, beta-turn, and extended form) are elucidated using FMO/PCM and PIEDA, and the interactions in the Trp-cage miniprotein construct (PDB: 1L2Y) are analyzed using PIEDA.
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Cites
General atomic and molecular electronic structure system
Schmidt, M. W., Baldridge, K. K., Boatz, J. A., Elbert, S. T., Gordon, M. S., Jensen, J. H., Koseki, S., Matsunaga, N., Nguyen, K. A., Su, S., et al. (1993) · Journal of Computational Chemistry · doi:10.1002/jcc.540141112 · Cited by 20,204
Quantum Mechanical Continuum Solvation Models
Tomasi, J., Mennucci, B., & Cammi, R. (2005) · Chemical Reviews · doi:10.1021/cr9904009 · Cited by 16,868
Barone, V., Cossi, M., & Tomasi, J. (1997) · The Journal of Chemical Physics · doi:10.1063/1.474671 · Cited by 2,406
A new energy decomposition scheme for molecular interactions within the Hartree‐Fock approximation
Kitaura, K., & Morokuma, K. (1976) · International Journal of Quantum Chemistry · doi:10.1002/qua.560100211 · Cited by 2,151
Self-citationSvensson, M., Humbel, S., Froese, R. D. J., Matsubara, T., Sieber, S., & Morokuma, K. (1996) · The Journal of Physical Chemistry · doi:10.1021/jp962071j · Cited by 1,977
Continuum Solvent Studies of the Stability of DNA, RNA, and Phosphoramidate−DNA Helices
Srinivasan, J., Cheatham, T. E., Cieplak, P., Kollman, P. A., & Case, D. A. (1998) · Journal of the American Chemical Society · doi:10.1021/ja981844+ · Cited by 1,628
Advances in electronic structure theory
Gordon, M. S., & Schmidt, M. W. (2005) · Theory and Applications of Computational Chemistry · doi:10.1016/b978-044451719-7/50084-6 · Cited by 1,596
Fragment molecular orbital method: an approximate computational method for large molecules
Kitaura, K., Ikeo, E., Asada, T., Nakano, T., & Uebayasi, M. (1999) · Chemical Physics Letters · doi:10.1016/s0009-2614(99)00874-x · Cited by 1,395
Self-citationDirect calculation of electron density in density-functional theory
Yang, W. (1991) · Physical Review Letters · doi:10.1103/physrevlett.66.1438 · Cited by 1,053
Localizability of dynamic electron correlation
Pulay, P. (1983) · Chemical Physics Letters · doi:10.1016/0009-2614(83)80703-9 · Cited by 846
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Computational electrochemistry: prediction of liquid-phase reduction potentials
Marenich, A. V., Ho, J., Coote, M. L., Cramer, C. J., & Truhlar, D. G. (2014) · Phys. Chem. Chem. Phys. · doi:10.1039/c4cp01572j · Cited by 508
Exploring chemistry with the fragment molecular orbital method
Fedorov, D. G., Nagata, T., & Kitaura, K. (2012) · Physical Chemistry Chemical Physics · doi:10.1039/c2cp23784a · Cited by 375
Self-citationPotential of quantum computing for drug discovery
Cao, Y., Romero, J., & Aspuru-Guzik, A. (2018) · IBM Journal of Research and Development · doi:10.1147/jrd.2018.2888987 · Cited by 357
Møller–Plesset perturbation theory: from small molecule methods to methods for thousands of atoms
Cremer, D. (2011) · WIREs Computational Molecular Science · doi:10.1002/wcms.58 · Cited by 274
Molnar, L. F., He, X., Wang, B., & Merz, K. M. (2009) · The Journal of Chemical Physics · doi:10.1063/1.3173809 · Cited by 123
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Metadata
- Authors
- Fedorov, D. G., & Kitaura, K.
- Venue
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-05-19
- Volume
- 111
- Issue
- 30
- Pages
- 6904-6914
- ISSN
- 1089-5639 (ISSN-L)
- 1520-5215
- OpenAlex
- W1995970359
- Cited by
- 567
- References
- 68
- FWCI
- 20.57
- Type
- journal article
- Language
- en
- Open access
- closed
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