Intuitive density functional theory-based energy decomposition analysis for protein-ligand interactions
Intuitive density functional theory-based energy decomposition analysis for protein-ligand interactions
First-principles quantum mechanical calculations with methods such as density functional theory (DFT) allow the accurate calculation of interaction energies between molecules. These interaction energies can be dissected into chemically relevant components such as electrostatics, polarization, and charge transfer using energy decomposition analysis (EDA) approaches. Typically EDA has been used to study interactions between small molecules; however, it has great potential to be applied to large biomolecular assemblies such as protein–protein and protein–ligand interactions. We present an application of EDA calculations to the study of ligands that bind to the thrombin protein, using the ONETEP program for linear-scaling DFT calculations. Our approach goes beyond simply providing the components of the interaction energy; we are also able to provide visual representations of the changes in density that happen as a result of polarization and charge transfer, thus pinpointing the functional groups between the ligand and protein that participate in each kind of interaction. We also demonstrate with this approach that we can focus on studying parts (fragments) of ligands. The method is relatively insensitive to the protocol that is used to prepare the structures, and the results obtained are therefore robust. This is an application to a real protein drug target of a whole new capability where accurate DFT calculations can produce both energetic and visual descriptors of interactions. These descriptors can be used to provide insights for tailoring interactions, as needed for example in drug design.
1837-1850
Phipps, M.J.S.
290febb8-7f0a-4bda-9944-96594d6343d2
Fox, T.
1d9ddbf8-6881-48cb-9abb-9c9c74a3f09a
Tautermann, C.S.
8b8df865-08b1-407a-aab9-952445cd4414
Skylaris, C.-K.
8f593d13-3ace-4558-ba08-04e48211af61
11 April 2017
Phipps, M.J.S.
290febb8-7f0a-4bda-9944-96594d6343d2
Fox, T.
1d9ddbf8-6881-48cb-9abb-9c9c74a3f09a
Tautermann, C.S.
8b8df865-08b1-407a-aab9-952445cd4414
Skylaris, C.-K.
8f593d13-3ace-4558-ba08-04e48211af61
Phipps, M.J.S., Fox, T., Tautermann, C.S. and Skylaris, C.-K.
(2017)
Intuitive density functional theory-based energy decomposition analysis for protein-ligand interactions.
Journal of Chemical Theory and Computation, 13 (4), .
(doi:10.1021/acs.jctc.6b01230).
Abstract
First-principles quantum mechanical calculations with methods such as density functional theory (DFT) allow the accurate calculation of interaction energies between molecules. These interaction energies can be dissected into chemically relevant components such as electrostatics, polarization, and charge transfer using energy decomposition analysis (EDA) approaches. Typically EDA has been used to study interactions between small molecules; however, it has great potential to be applied to large biomolecular assemblies such as protein–protein and protein–ligand interactions. We present an application of EDA calculations to the study of ligands that bind to the thrombin protein, using the ONETEP program for linear-scaling DFT calculations. Our approach goes beyond simply providing the components of the interaction energy; we are also able to provide visual representations of the changes in density that happen as a result of polarization and charge transfer, thus pinpointing the functional groups between the ligand and protein that participate in each kind of interaction. We also demonstrate with this approach that we can focus on studying parts (fragments) of ligands. The method is relatively insensitive to the protocol that is used to prepare the structures, and the results obtained are therefore robust. This is an application to a real protein drug target of a whole new capability where accurate DFT calculations can produce both energetic and visual descriptors of interactions. These descriptors can be used to provide insights for tailoring interactions, as needed for example in drug design.
Text
EDA-Thrombin
- Accepted Manuscript
More information
Accepted/In Press date: 17 February 2017
e-pub ahead of print date: 28 February 2017
Published date: 11 April 2017
Organisations:
Computational Systems Chemistry
Identifiers
Local EPrints ID: 407520
URI: http://eprints.soton.ac.uk/id/eprint/407520
ISSN: 1549-9618
PURE UUID: f8790830-0577-4056-9201-ba684ab1454f
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Date deposited: 13 Apr 2017 01:04
Last modified: 16 Mar 2024 05:14
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Contributors
Author:
M.J.S. Phipps
Author:
T. Fox
Author:
C.S. Tautermann
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