The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Frontier Bonds in QM/MM Methods: A Comparison of Different Approaches
Abstract
A major complication in hybrid QM/MM methods is the treatment of the frontier between the quantum part, describing the reactive region, and the classical part, describing the environment. Two approaches to this problem, the “link atom” method and the “local self-consistent field” (LSCF) formalism, are compared in this paper. For this purpose, the LSCF formalism has been introduced into the CHARMM program. A detailed description of the two approaches is presented. The results of semiempirical calculations of deprotonation enthalpies and proton affinities of propanol and a tripeptide with different treatments of the frontier bond are compared. Particular emphasis is placed on the effect of an external charge. It is shown that the choice of the QM/MM electronic interactions included in the frontier region is of considerable importance in determining the electron distribution of the QM region and the overall energy. The link atom and LSCF methods are generally of similar accuracy if care is taken in the choice of the frontier between the QM and MM regions. QM and QM/MM geometry optimizations of ethane and butane are also compared. The introduction of a link atom in the frontier bond is shown to lead to distortions of the internal coordinates unless the frontier bond is treated in a special way. A number of practical points concerning the choice of the frontier between the QM and MM regions are presented. It is not advisable to remove classical charges from the interactions with a subset of the quantum atoms, as this can introduce significant errors in the energy computations. The presence of a large charge on the classical atom involved in the QM/MM frontier also adversely influences the energy, especially with the LSCF method, and it is therefore advised to select classical frontier atoms with small charges. Charged atoms which are not directly bound to the QM frontier but which are in its proximity are also shown to be a source of errors, and it is advised to introduce warning messages in QM-MM codes when such a situation arises.
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Cites
CHARMM: A program for macromolecular energy, minimization, and dynamics calculations
Brooks, B. R., Bruccoleri, R. E., Olafson, B. D., States, D. J., Swaminathan, S., & Karplus, M. (1983) · Journal of Computational Chemistry · doi:10.1002/jcc.540040211 · Cited by 14,944
Self-citationAll-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
MacKerell, A. D., Bashford, D., Bellott, M., Dunbrack, R. L., Evanseck, J. D., Field, M. J., Fischer, S., Gao, J., Guo, H., Ha, S., et al. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp973084f · Cited by 14,311
Self-citationDewar, M. J. S., Zoebisch, E. G., Healy, E. F., & Stewart, J. J. P. (1985) · Journal of the American Chemical Society · doi:10.1021/ja00299a024 · Cited by 13,074
Ground states of molecules. 38. The MNDO method. Approximations and parameters
Dewar, M. J. S., & Thiel, W. (1977) · Journal of the American Chemical Society · doi:10.1021/ja00457a004 · Cited by 5,128
Warshel, A., & Levitt, M. (1976) · Journal of Molecular Biology · doi:10.1016/0022-2836(76)90311-9 · Cited by 4,479
Approximate molecular orbital theory
Pople, J. A., & Beveridge, D. L. (1970) · Medical Entomology and Zoology · Cited by 3,557
MOPAC: A semiempirical molecular orbital program
Stewart, J. J. P. (1990) · Journal of Computer-Aided Molecular Design · doi:10.1007/bf00128336 · Cited by 2,897
Encyclopedia of Computational Chemistry
Horn, A., & Lanig, H. (1999) · Journal of Molecular Modeling · doi:10.1007/s0089490050141 · Cited by 2,511
A combined quantum mechanical and molecular mechanical potential for molecular dynamics simulations
Field, M. J., Bash, P. A., & Karplus, M. (1990) · Journal of Computational Chemistry · doi:10.1002/jcc.540110605 · Cited by 2,466
Self-citationRossini, F. D. (1972) · The Journal of Chemical Thermodynamics · doi:10.1016/0021-9614(72)90036-5 · Cited by 1,902
Cited by
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535
P450 Enzymes: Their Structure, Reactivity, and Selectivity—Modeled by QM/MM Calculations
Shaik, S., Cohen, S., Wang, Y., Chen, H., Kumar, D., & Thiel, W. (2010) · Chemical Reviews · doi:10.1021/cr900121s · Cited by 1,083
Q UANTUM M ECHANICAL M ETHODS FOR E NZYME K INETICS
Gao, J., & Truhlar, D. G. (2002) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.53.091301.150114 · Cited by 733
Friesner, R. A., & Guallar, V. (2005) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.55.091602.094410 · Cited by 522
QM/MM Methods for Biological Systems
Senn, H. M., & Thiel, W. (2006) · Topics in Current Chemistry · doi:10.1007/128_2006_084 · Cited by 428
Metadata
- Authors
- Reuter, N., Dejaegere, A., Maigret, B., & Karplus, M.
- Venue
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-02-03
- Volume
- 104
- Issue
- 8
- Pages
- 1720-1735
- ISSN
- 1089-5639 (ISSN-L)
- 1520-5215
- OpenAlex
- W1975877124
- Cited by
- 398
- References
- 22
- FWCI
- 14.70
- Type
- journal article
- Language
- en
- Open access
- closed
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