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PM3‐SM3: A general parameterization for including aqueous solvation effects in the PM3 molecular orbital model
Abstract
Our recently proposed scheme for including aqueous solvation free energies in parameterized NDDO SCF models is extended to the Parameterized Model 3 semiempirical Hamiltonian. The solvation model takes accurate account of the hydrophobic effect for hydrocarbons, as well as electric polarization of the solvent, the free energy of cavitation, and dispersion interactions. Eight heteroatoms are included (along with H and C), and the new model is parameterized accurately for the water molecule itself, which allows meaningful treatments of specifically hydrogen bonded water molecules. The unphysical partial charges on nitrogen atoms predicted by the Parameterized Model 3 Hamiltonian limit the accuracy of the predicted solvation energies for some compounds containing nitrogen, but the model may be very useful for other systems, especially those for which PM3 is preferred over AM1 for the solute properties of the particular system under study. © 1992 by John Wiley & Sons, Inc.
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Cites
Hermann, R. B. (1972) · The Journal of Physical Chemistry · doi:10.1021/j100663a023 · Cited by 700
Cited by
Marenich, A. V., Cramer, C. J., & Truhlar, D. G. (2009) · The Journal of Physical Chemistry B · doi:10.1021/jp810292n · Cited by 17,843
Self-citationForesman, J. B., Keith, T. A., Wiberg, K. B., Snoonian, J., & Frisch, M. J. (1996) · The Journal of Physical Chemistry · doi:10.1021/jp960488j · Cited by 1,257
Metadata
- Authors
- Cramer, C. J., & Truhlar, D. G.
- Venue
- Journal of Computational Chemistry
- Publisher
- Wiley
- Published
- 1992-11
- Volume
- 13
- Issue
- 9
- Pages
- 1089-1097
- ISSN
- 0192-8651 (ISSN-L)
- 1096-987X
- OpenAlex
- W2028462745
- Cited by
- 179
- References
- 1
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cramer, C. J., & Truhlar, D. G. (1992). PM3‐SM3: A general parameterization for including aqueous solvation effects in the PM3 molecular orbital model. Journal of Computational Chemistry. https://doi.org/10.1002/jcc.540130907
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