Literature DB >> 21942911

Performance assessment of semiempirical molecular orbital methods in describing halogen bonding: quantum mechanical and quantum mechanical/molecular mechanical-molecular dynamics study.

Mahmoud A A Ibrahim1.   

Abstract

The performance of semiempirical molecular-orbital methods--MNDO, MNDO-d, AM1, RM1, PM3 and PM6--in describing halogen bonding was evaluated, and the results were compared with molecular mechanical (MM) and quantum mechanical (QM) data. Three types of performance were assessed: (1) geometrical optimizations and binding energy calculations for 27 halogen-containing molecules complexed with various Lewis bases (Two of the tested methods, AM1 and RM1, gave results that agree with the QM data.); (2) charge distribution calculations for halobenzene molecules, determined by calculating the solvation free energies of the molecules relative to benzene in explicit and implicit generalized Born (GB) solvents (None of the methods gave results that agree with the experimental data.); and (3) appropriateness of the semiempirical methods in the hybrid quantum-mechanical/molecular-mechanical (QM/MM) scheme, investigated by studying the molecular inhibition of CK2 protein by eight halobenzimidazole and -benzotriazole derivatives using hybrid QM/MM molecular-dynamics (MD) simulations with the inhibitor described at the QM level by the AM1 method and the rest of the system described at the MM level. The pure MM approach with inclusion of an extra point of positive charge on the halogen atom approach gave better results than the hybrid QM/MM approach involving the AM1 method. Also, in comparison with the pure MM-GBSA (generalized Born surface area) binding energies and experimental data, the calculated QM/MM-GBSA binding energies of the inhibitors were improved by replacing the G(GB,QM/MM) solvation term with the corresponding G(GB,MM) term.

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Year:  2011        PMID: 21942911     DOI: 10.1021/ci2002582

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 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.  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 4.  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

5.  A new serotonin 5-HT6 receptor antagonist with procognitive activity - Importance of a halogen bond interaction to stabilize the binding.

Authors:  Juan A González-Vera; Rocío A Medina; Mar Martín-Fontecha; Angel Gonzalez; Tania de la Fuente; Henar Vázquez-Villa; Javier García-Cárceles; Joaquín Botta; Peter J McCormick; Bellinda Benhamú; Leonardo Pardo; María L López-Rodríguez
Journal:  Sci Rep       Date:  2017-01-24       Impact factor: 4.379

Review 6.  Looking Back, Looking Forward at Halogen Bonding in Drug Discovery.

Authors:  Lois Mendez; Gabriela Henriquez; Suman Sirimulla; Mahesh Narayan
Journal:  Molecules       Date:  2017-08-24       Impact factor: 4.411

7.  Accurate Binding Free Energy Method from End-State MD Simulations.

Authors:  Ebru Akkus; Omer Tayfuroglu; Muslum Yildiz; Abdulkadir Kocak
Journal:  J Chem Inf Model       Date:  2022-08-16       Impact factor: 6.162

8.  Probing Origin of Binding Difference of inhibitors to MDM2 and MDMX by Polarizable Molecular Dynamics Simulation and QM/MM-GBSA Calculation.

Authors:  Jianzhong Chen; Jinan Wang; Qinggang Zhang; Kaixian Chen; Weiliang Zhu
Journal:  Sci Rep       Date:  2015-11-30       Impact factor: 4.379

  8 in total

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