Literature DB >> 22393912

AMBER empirical potential describes the geometry and energy of noncovalent halogen interactions better than advanced semiempirical quantum mechanical method PM6-DH2X.

Mahmoud A A Ibrahim1.   

Abstract

A recently published study on halogen bonding in casein kinase 2 (CK2)-inhibitor complexes claimed that the halogen-bond-corrected PM6 semiempirical method (PM6-DH2X) describes the halogen bonding properties correctly, whereas the AMBER empirical potential fails. The current study employs our positive extra-point (PEP) approach for halogen bonding, in which the σ-hole on the halogen atom is represented by an extra point of charge. The performance of the two methods in describing halogen bonding in halobenzene···Lewis base and CK2-inhibitor complexes was reassessed. Compared to basis set superposition error- (BSSE-) corrected MP2/aug-cc-pVDZ (with PP functions on the Br and I atoms) data, the AMBER force field described the halogen bonding in halobenzene···Lewis base complexes slightly better than the PM6-DH2X method. Fifteen polyhalogenated benzimidazole inhibitors (taken from a study of Dobeš et al.) complexed to CK2 protein were studied. The binding energies were calculated using the molecular mechanical-generalized Born surface area (MM-GBSA) approach. Compared to the corresponding experimental data, the AMBER force field yielded much better results than the PM6-DH2X method. Finally, the performance of both methods in describing C-X···π-system and C-X···H-O/C interactions was examined. A comparison with MP2 data revealed that the PM6-DH2X method failed to describe them, whereas the AMBER force field performed well.

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Year:  2012        PMID: 22393912     DOI: 10.1021/jp3003905

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  14 in total

1.  Molecular mechanical perspective on halogen bonding.

Authors:  Mahmoud A A Ibrahim
Journal:  J Mol Model       Date:  2012-05-30       Impact factor: 1.810

2.  A quantum mechanics-based halogen bonding scoring function for protein-ligand interactions.

Authors:  Zhuo Yang; Yingtao Liu; Zhaoqiang Chen; Zhijian Xu; Jiye Shi; Kaixian Chen; Weiliang Zhu
Journal:  J Mol Model       Date:  2015-05-10       Impact factor: 1.810

3.  Benchmarking DFT methods with small basis sets for the calculation of halogen-bond strengths.

Authors:  Antti Siiskonen; Arri Priimagi
Journal:  J Mol Model       Date:  2017-02-04       Impact factor: 1.810

4.  Force Field Model of Periodic Trends in Biomolecular Halogen Bonds.

Authors:  Matthew R Scholfield; Melissa Coates Ford; Crystal M Vander Zanden; M Marie Billman; P Shing Ho; Anthony K Rappé
Journal:  J Phys Chem B       Date:  2014-11-10       Impact factor: 2.991

5.  A knowledge-based halogen bonding scoring function for predicting protein-ligand interactions.

Authors:  Yingtao Liu; Zhijian Xu; Zhuo Yang; Kaixian Chen; Weiliang Zhu
Journal:  J Mol Model       Date:  2013-09-27       Impact factor: 1.810

Review 6.  Halogen bonding (X-bonding): a biological perspective.

Authors:  Matthew R Scholfield; Crystal M Vander Zanden; Megan Carter; P Shing Ho
Journal:  Protein Sci       Date:  2012-12-29       Impact factor: 6.725

7.  Assessing the accuracy of the general AMBER force field for 2,2,2-trifluoroethanol as solvent.

Authors:  Xiangyu Jia; John Z H Zhang; Ye Mei
Journal:  J Mol Model       Date:  2013-02-10       Impact factor: 1.810

8.  Evaluating thermodynamic integration performance of the new amber molecular dynamics package and assess potential halogen bonds of enoyl-ACP reductase (FabI) benzimidazole inhibitors.

Authors:  Pin-Chih Su; Michael E Johnson
Journal:  J Comput Chem       Date:  2015-12-15       Impact factor: 3.376

Review 9.  Enhanced semiempirical QM methods for biomolecular interactions.

Authors:  Nusret Duygu Yilmazer; Martin Korth
Journal:  Comput Struct Biotechnol J       Date:  2015-02-28       Impact factor: 7.271

Review 10.  The Halogen Bond.

Authors:  Gabriella Cavallo; Pierangelo Metrangolo; Roberto Milani; Tullio Pilati; Arri Priimagi; Giuseppe Resnati; Giancarlo Terraneo
Journal:  Chem Rev       Date:  2016-01-26       Impact factor: 60.622

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