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Theoretical Study of the Interactions Involved in the Inhibition of Mycobacterium Tuberculosis Methionine Aminopeptidase by Several Molecules

Received: 23 October 2014     Accepted: 7 November 2014     Published: 20 November 2014
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Abstract

With the development of computer tools in the past 20 years, molecular modeling and more precisely molecular docking has quickly entered the area of biological research. Two programs of molecular docking, Surflex and GOLD (Genetic Optimization for Ligand Docking), have been developed to assist in the development of molecules with therapeutic activity. With the RMSD (Root Mean Square Deviation) values lower than 2 Å and the coefficient of correlation close to 1, the performances of Surflex and GOLD software’s are clearly proven and perfectly adapted to the different molecular structures used in this study. They have been used to study the inhibition of 3IU7, a methionine aminopeptidase belonging to Mycobacterium tuberculosis, by various molecules of ligands from the literature aimed to find new anti-tuberculosis drugs. The evaluation of the affinity and the energy of interaction of these molecules made it possible to release those presenting the best inhibiting effect, in accordance with IC50 values obtained from the literature. It is the compound TO7, which the values of Fitness and Affinity are respectively 57.35 and 3.10 M-1. The interactions types responsible for the stability of the various complexes are Van der Waals and hydrogen bonds.

Published in Computational Biology and Bioinformatics (Volume 2, Issue 5)
DOI 10.11648/j.cbb.20140205.11
Page(s) 63-73
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Protein-Ligand Interactions, Molecular Docking, Surflex, GOLD, RMSD, the Coefficient of Correlation, Methionine Aminopeptidase

References
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Cite This Article
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    Boucherit Hanane, Chikhi Abdelouahab, Bensegueni Abderrahmane, Merzoug Amina, Hioual khadidja Soulef, et al. (2014). Theoretical Study of the Interactions Involved in the Inhibition of Mycobacterium Tuberculosis Methionine Aminopeptidase by Several Molecules. Computational Biology and Bioinformatics, 2(5), 63-73. https://doi.org/10.11648/j.cbb.20140205.11

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    ACS Style

    Boucherit Hanane; Chikhi Abdelouahab; Bensegueni Abderrahmane; Merzoug Amina; Hioual khadidja Soulef, et al. Theoretical Study of the Interactions Involved in the Inhibition of Mycobacterium Tuberculosis Methionine Aminopeptidase by Several Molecules. Comput. Biol. Bioinform. 2014, 2(5), 63-73. doi: 10.11648/j.cbb.20140205.11

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    AMA Style

    Boucherit Hanane, Chikhi Abdelouahab, Bensegueni Abderrahmane, Merzoug Amina, Hioual khadidja Soulef, et al. Theoretical Study of the Interactions Involved in the Inhibition of Mycobacterium Tuberculosis Methionine Aminopeptidase by Several Molecules. Comput Biol Bioinform. 2014;2(5):63-73. doi: 10.11648/j.cbb.20140205.11

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  • @article{10.11648/j.cbb.20140205.11,
      author = {Boucherit Hanane and Chikhi Abdelouahab and Bensegueni Abderrahmane and Merzoug Amina and Hioual khadidja Soulef and Mokrani El Hassen},
      title = {Theoretical Study of the Interactions Involved in the Inhibition of Mycobacterium Tuberculosis Methionine Aminopeptidase by Several Molecules},
      journal = {Computational Biology and Bioinformatics},
      volume = {2},
      number = {5},
      pages = {63-73},
      doi = {10.11648/j.cbb.20140205.11},
      url = {https://doi.org/10.11648/j.cbb.20140205.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20140205.11},
      abstract = {With the development of computer tools in the past 20 years, molecular modeling and more precisely molecular docking has quickly entered the area of biological research. Two programs of molecular docking, Surflex and GOLD (Genetic Optimization for Ligand Docking), have been developed to assist in the development of molecules with therapeutic activity. With the RMSD (Root Mean Square Deviation) values lower than 2 Å and the coefficient of correlation close to 1, the performances of Surflex and GOLD software’s are clearly proven and perfectly adapted to the different molecular structures used in this study. They have been used to study the inhibition of 3IU7, a methionine aminopeptidase belonging to Mycobacterium tuberculosis, by various molecules of ligands from the literature aimed to find new anti-tuberculosis drugs. The evaluation of the affinity and the energy of interaction of these molecules made it possible to release those presenting the best inhibiting effect, in accordance with IC50 values obtained from the literature. It is the compound TO7, which the values of Fitness and Affinity are respectively 57.35 and 3.10 M-1. The interactions types responsible for the stability of the various complexes are Van der Waals and hydrogen bonds.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Theoretical Study of the Interactions Involved in the Inhibition of Mycobacterium Tuberculosis Methionine Aminopeptidase by Several Molecules
    AU  - Boucherit Hanane
    AU  - Chikhi Abdelouahab
    AU  - Bensegueni Abderrahmane
    AU  - Merzoug Amina
    AU  - Hioual khadidja Soulef
    AU  - Mokrani El Hassen
    Y1  - 2014/11/20
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    N1  - https://doi.org/10.11648/j.cbb.20140205.11
    DO  - 10.11648/j.cbb.20140205.11
    T2  - Computational Biology and Bioinformatics
    JF  - Computational Biology and Bioinformatics
    JO  - Computational Biology and Bioinformatics
    SP  - 63
    EP  - 73
    PB  - Science Publishing Group
    SN  - 2330-8281
    UR  - https://doi.org/10.11648/j.cbb.20140205.11
    AB  - With the development of computer tools in the past 20 years, molecular modeling and more precisely molecular docking has quickly entered the area of biological research. Two programs of molecular docking, Surflex and GOLD (Genetic Optimization for Ligand Docking), have been developed to assist in the development of molecules with therapeutic activity. With the RMSD (Root Mean Square Deviation) values lower than 2 Å and the coefficient of correlation close to 1, the performances of Surflex and GOLD software’s are clearly proven and perfectly adapted to the different molecular structures used in this study. They have been used to study the inhibition of 3IU7, a methionine aminopeptidase belonging to Mycobacterium tuberculosis, by various molecules of ligands from the literature aimed to find new anti-tuberculosis drugs. The evaluation of the affinity and the energy of interaction of these molecules made it possible to release those presenting the best inhibiting effect, in accordance with IC50 values obtained from the literature. It is the compound TO7, which the values of Fitness and Affinity are respectively 57.35 and 3.10 M-1. The interactions types responsible for the stability of the various complexes are Van der Waals and hydrogen bonds.
    VL  - 2
    IS  - 5
    ER  - 

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Author Information
  • Laboratory of Applied Biology and Health, Department of Biochemistry-Microbiology, Faculty of Natural And Life Sciences, University of Constantine 1, Constantine, Algeria

  • Laboratory of Applied Biology and Health, Department of Biochemistry-Microbiology, Faculty of Natural And Life Sciences, University of Constantine 1, Constantine, Algeria

  • Laboratory of Applied Biology and Health, Department of Biochemistry-Microbiology, Faculty of Natural And Life Sciences, University of Constantine 1, Constantine, Algeria

  • Laboratory of Applied Biology and Health, Department of Biochemistry-Microbiology, Faculty of Natural And Life Sciences, University of Constantine 1, Constantine, Algeria

  • Laboratory of Applied Biology and Health, Department of Biochemistry-Microbiology, Faculty of Natural And Life Sciences, University of Constantine 1, Constantine, Algeria

  • Laboratory of Applied Biology and Health, Department of Biochemistry-Microbiology, Faculty of Natural And Life Sciences, University of Constantine 1, Constantine, Algeria

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