The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
On the Importance and Origin of Aromatic Interactions in Chemistry and Biodisciplines
Abstract
Aromatic systems contain both σ- and π-electrons, which in turn constitute σ- and π-molecular orbitals (MOs). In discussing the properties of these systems, researchers typically refer to the highest occupied and lowest unoccupied MOs, which are π MOs. The characteristic properties of aromatic systems, such as their low ionization potentials and electron affinities, high polarizabilities and stabilities, and small band gaps (in spectroscopy called the N → V1 space), can easily be explained based on their electronic structure. These one-electron properties point to characteristic features of how aromatic systems interact with each other. Unlike hydrogen bonding systems, which primarily interact through electrostatic forces, complexes containing aromatic systems, especially aromatic stacked pairs, are predominantly stabilized by dispersion attraction. The stabilization energy in the benzene dimer is rather small (~2.5 kcal/mol) but strengthens with heteroatom substitution. The stacked interaction of aromatic nucleic acid bases is greater than 10 kcal/mol, and for the most stable stacked pair, guanine and cytosine, it reaches approximately 17 kcal/mol. Although these values do not equal the planar H-bonded interactions of these bases (~29 kcal/mol), stacking in DNA is more frequent than H-bonding and, unlike H-bonding, is not significantly weakened when passing from the gas phase to a water environment. Consequently, the stacking of aromatic systems represents the leading stabilization energy contribution in biomacromolecules and in related nanosystems. Therefore stacking (dispersion) interactions predominantly determine the double helical structure of DNA, which underlies its storage and transfer of genetic information. Similarly, dispersion is the dominant contributor to attractive interactions involving aromatic amino acids within the hydrophobic core of a protein, which is critical for folding. Therefore, understanding the nature of aromatic interactions, which depend greatly on quantum mechanical (QM) calculations, is of key importance in biomolecular science. This Account shows that accurate binding energies for aromatic complexes should be based on computations made at the (estimated) CCSD(T)/complete basis set limit (CBS) level of theory. This method is the least computationally intensive one that can give accurate stabilization energies for all common classes of noncovalent interactions (aromatic-aromatic, H-bonding, ionic, halogen bonding, charge-transfer, etc.). These results allow for direct comparison of binding energies between different interaction types. Conclusions based on lower-level QM calculations should be considered with care.
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Cites
Perturbation Theory Approach to Intermolecular Potential Energy Surfaces of van der Waals Complexes
Jeziorski, B., Moszynski, R., & Szalewicz, K. (1994) · Chemical Reviews · doi:10.1021/cr00031a008 · Cited by 2,818
Aromatic-Aromatic Interaction: A Mechanism of Protein Structure Stabilization
Burley, S. K., & Petsko, G. A. (1985) · Science · doi:10.1126/science.3892686 · Cited by 2,524
Jurečka, P., Šponer, J., Černý, J., & Hobza, P. (2006) · Phys. Chem. Chem. Phys. · doi:10.1039/b600027d · Cited by 1,852
Self-citationA Medicinal Chemist’s Guide to Molecular Interactions
Bissantz, C., Kuhn, B., & Stahl, M. (2010) · Journal of Medicinal Chemistry · doi:10.1021/jm100112j · Cited by 1,731
Aromatic Rings in Chemical and Biological Recognition: Energetics and Structures
Salonen, L. M., Ellermann, M., & Diederich, F. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201007560 · Cited by 1,539
Estimates of the Ab Initio Limit for π−π Interactions: The Benzene Dimer
Sinnokrot, M. O., Valeev, E. F., & Sherrill, C. D. (2002) · Journal of the American Chemical Society · doi:10.1021/ja025896h · Cited by 1,339
S66: A Well-balanced Database of Benchmark Interaction Energies Relevant to Biomolecular Structures
Řezáč, J., Riley, K. E., & Hobza, P. (2011) · Journal of Chemical Theory and Computation · doi:10.1021/ct2002946 · Cited by 1,019
Self-citationHobza, P., & Šponer, J. (1999) · Chemical Reviews · doi:10.1021/cr9800255 · Cited by 1,002
Self-citationBase-stacking and base-pairing contributions into thermal stability of the DNA double helix
Yakovchuk, P. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj454 · Cited by 997
High-Accuracy Quantum Mechanical Studies of π−π Interactions in Benzene Dimers
Sinnokrot, M. O., & Sherrill, C. D. (2006) · The Journal of Physical Chemistry A · doi:10.1021/jp0610416 · Cited by 773
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Craddock, T. J. A., Hameroff, S. R., T. Ayoub, A., Klobukowski, M., & Tuszynski, J. A. (2015) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026615666150225104543 · Cited by 85
Metadata
- Authors
- Riley, K. E., & Hobza, P.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-08-08
- Volume
- 46
- Issue
- 4
- Pages
- 927-936
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2056256630
- Cited by
- 260
- References
- 38
- FWCI
- 13.47
- Type
- journal article
- Language
- en
- Open access
- closed
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