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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Wiley Interdisciplin...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Wiley Interdisciplinary Reviews Computational Molecular Science
Article . 2011 . Peer-reviewed
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Noncovalent interactions in biochemistry

Authors: Kevin E. Riley; Pavel Hobza;

Noncovalent interactions in biochemistry

Abstract

AbstractNoncovalent interactions are known to play a key role in biochemistry. The knowledge of stabilization (relative) energies and their components is very important for understanding the nature of these interactions. Accurate and benchmark data on interaction (relative) energies and structures can be obtained from coupled‐cluster with single and double and perturbative triple excitations [CCSD(T)] calculations with extended basis of atomic orbitals or even at the complete basis set limit. These methods cannot be, however, used for systems larger than about 50 atoms. In this contribution, the applicability and performance of various recently introduced wavefunction and density functional methods are examined in detail. It is shown that a very good performance by some of these methods is obtained only by introducing empirical parameters fitted mostly to CCSD(T) benchmark data. Among the methods described, special attention is paid to two techniques. First, the symmetry‐adapted perturbation technique that allows obtaining not only accurate values of total interaction energies but also their components. Results of these calculations reveal a key role of dispersion energy in stabilizing the structures of biomolecular systems. Second, the semiempirical quantum chemical parameterized model 6 method (PM6) augmented by empirical terms describing the dispersion and H‐bonding energies. The method is suitable for much extended systems having several thousands of atoms and can be thus used, e.g., in the drug design. © 2011 John Wiley & Sons, Ltd. WIREs Comput Mol Sci 2011 1 3‐17 DOI: 10.1002/wcms.8This article is categorized under: Structure and Mechanism > Computational Biochemistry and Biophysics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
216
Top 1%
Top 10%
Top 1%
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