Literature DB >> 25811943

Energy decomposition analysis approaches and their evaluation on prototypical protein-drug interaction patterns.

Maximillian J S Phipps1, Thomas Fox, Christofer S Tautermann, Chris-Kriton Skylaris.   

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 π-π stacking interactions) including various treatments of the dispersion energy.

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Year:  2015        PMID: 25811943     DOI: 10.1039/c4cs00375f

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  36 in total

Review 1.  Lone pair-π interactions in biological systems: occurrence, function, and physical origin.

Authors:  Jiří Kozelka
Journal:  Eur Biophys J       Date:  2017-05-02       Impact factor: 1.733

2.  A density functional theory investigation of the interaction of the tetraaqua calcium cation with bidentate carbonyl ligands.

Authors:  Daniel Garcez S Quattrociocchi; Marcos Vinicius Monsores Meuser; Glaucio Braga Ferreira; José Walkimar de M Carneiro; Stanislav R Stoyanov; Leonardo Moreira da Costa
Journal:  J Mol Model       Date:  2017-02-08       Impact factor: 1.810

3.  Sequence specificity in DNA-drug intercalation: MD simulation and density functional theory approaches.

Authors:  Lakshmi Maganti; Dhananjay Bhattacharyya
Journal:  J Comput Aided Mol Des       Date:  2019-12-09       Impact factor: 3.686

4.  An insight into paracetamol and its metabolites using molecular docking and molecular dynamics simulation.

Authors:  Yuanqiang Wang; Weiwei Lin; Nan Wu; Xibing He; Junmei Wang; Zhiwei Feng; Xiang-Qun Xie
Journal:  J Mol Model       Date:  2018-08-18       Impact factor: 1.810

5.  Ligand-Substrate Dispersion Facilitates the Copper-Catalyzed Hydroamination of Unactivated Olefins.

Authors:  Gang Lu; Richard Y Liu; Yang Yang; Cheng Fang; Daniel S Lambrecht; Stephen L Buchwald; Peng Liu
Journal:  J Am Chem Soc       Date:  2017-11-09       Impact factor: 15.419

6.  Energy decomposition analysis of single bonds within Kohn-Sham density functional theory.

Authors:  Daniel S Levine; Martin Head-Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-20       Impact factor: 11.205

7.  Holistic Approach to Partial Covalent Interactions in Protein Structure Prediction and Design with Rosetta.

Authors:  Steven A Combs; Benjamin K Mueller; Jens Meiler
Journal:  J Chem Inf Model       Date:  2018-04-19       Impact factor: 4.956

8.  Consistent inclusion of continuum solvation in energy decomposition analysis: theory and application to molecular CO2 reduction catalysts.

Authors:  Yuezhi Mao; Matthias Loipersberger; Kareesa J Kron; Jeffrey S Derrick; Christopher J Chang; Shaama Mallikarjun Sharada; Martin Head-Gordon
Journal:  Chem Sci       Date:  2020-11-27       Impact factor: 9.825

9.  Predicting the Adsorption of Amoxicillin and Ibuprofen on Chitosan and Graphene Oxide Materials: A Density Functional Theory Study.

Authors:  Leonardo Anchique; Jackson J Alcázar; Andrea Ramos-Hernandez; Maximiliano Méndez-López; José R Mora; Norma Rangel; José Luis Paz; Edgar Márquez
Journal:  Polymers (Basel)       Date:  2021-05-17       Impact factor: 4.329

10.  Ion-pairing π-electronic systems: ordered arrangement and noncovalent interactions of negatively charged porphyrins.

Authors:  Yoshifumi Sasano; Hiroki Tanaka; Yohei Haketa; Yoichi Kobayashi; Yukihide Ishibashi; Tatsuki Morimoto; Ryuma Sato; Yasuteru Shigeta; Nobuhiro Yasuda; Tsuyoshi Asahi; Hiromitsu Maeda
Journal:  Chem Sci       Date:  2021-06-14       Impact factor: 9.825

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