Energy decomposition analysis approaches and their evaluation on prototypical protein–drug interaction patterns
Energy decomposition analysis approaches and their evaluation on prototypical protein–drug interaction patterns
The partitioning of the energy in ab initio quantum mechanical calculations into its chemical origins (e.g., electrostatics, exchange-repulsion, polarization, and charge transfer) is a relatively recent development; such concepts of isolating chemically meaningful energy components from the interaction energy have been demonstrated by variational and perturbation based energy decomposition analysis approaches. The variational methods are typically derived from the early energy decomposition analysis of Morokuma [Morokuma, J. Chem. Phys., 1971, 55, 1236], and the perturbation approaches from the popular symmetry-adapted perturbation theory scheme [Jeziorski et al., Methods and Techniques in Computational Chemistry: METECC-94, 1993, ch. 13, p. 79]. Since these early works, many developments have taken place aiming to overcome limitations of the original schemes and provide more chemical significance to the energy components, which are not uniquely defined. In this review, after a brief overview of the origins of these methods we examine the theory behind the currently popular variational and perturbation based methods from the point of view of biochemical applications. We also compare and discuss the chemical relevance of energy components produced by these methods on six test sets that comprise model systems that display interactions typical of biomolecules (such as hydrogen bonding and pi-pi stacking interactions) including various treatments of the dispersion energy.
3177-3211
Phipps, Maximillian J.S.
290febb8-7f0a-4bda-9944-96594d6343d2
Fox, Thomas
04c97900-df28-4af0-a7ca-62e5efcfcaba
Tautermann, Christofer S.
f35b4fb9-df35-4e57-8d68-8e20b5a177fd
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
21 May 2015
Phipps, Maximillian J.S.
290febb8-7f0a-4bda-9944-96594d6343d2
Fox, Thomas
04c97900-df28-4af0-a7ca-62e5efcfcaba
Tautermann, Christofer S.
f35b4fb9-df35-4e57-8d68-8e20b5a177fd
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
Phipps, Maximillian J.S., Fox, Thomas, Tautermann, Christofer S. and Skylaris, Chris-Kriton
(2015)
Energy decomposition analysis approaches and their evaluation on prototypical protein–drug interaction patterns.
Chemical Society Reviews, 44 (10), .
(doi:10.1039/c4cs00375f).
(PMID:25811943)
Abstract
The partitioning of the energy in ab initio quantum mechanical calculations into its chemical origins (e.g., electrostatics, exchange-repulsion, polarization, and charge transfer) is a relatively recent development; such concepts of isolating chemically meaningful energy components from the interaction energy have been demonstrated by variational and perturbation based energy decomposition analysis approaches. The variational methods are typically derived from the early energy decomposition analysis of Morokuma [Morokuma, J. Chem. Phys., 1971, 55, 1236], and the perturbation approaches from the popular symmetry-adapted perturbation theory scheme [Jeziorski et al., Methods and Techniques in Computational Chemistry: METECC-94, 1993, ch. 13, p. 79]. Since these early works, many developments have taken place aiming to overcome limitations of the original schemes and provide more chemical significance to the energy components, which are not uniquely defined. In this review, after a brief overview of the origins of these methods we examine the theory behind the currently popular variational and perturbation based methods from the point of view of biochemical applications. We also compare and discuss the chemical relevance of energy components produced by these methods on six test sets that comprise model systems that display interactions typical of biomolecules (such as hydrogen bonding and pi-pi stacking interactions) including various treatments of the dispersion energy.
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e-pub ahead of print date: 2 April 2015
Published date: 21 May 2015
Organisations:
Computational Systems Chemistry
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Local EPrints ID: 396123
URI: http://eprints.soton.ac.uk/id/eprint/396123
ISSN: 0306-0012
PURE UUID: e5b382b9-c3d5-45ad-903b-8b319e24cf0a
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Date deposited: 02 Jun 2016 13:32
Last modified: 15 Mar 2024 03:26
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Author:
Maximillian J.S. Phipps
Author:
Thomas Fox
Author:
Christofer S. Tautermann
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