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Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach

PURPOSE: The enoyl-acyl carrier protein reductase (InhA) is one of the important key enzymes employed in mycolic acids biosynthesis pathway and an important component of mycobacterial cell walls. This enzyme has also been identified as major target of isoniazid drug, except that isoniazid needs to b...

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Autores principales: EL Haddoumi, Ghyzlane, Mansouri, Mariam, Bendani, Houda, Bouricha, El Mehdi, Kandoussi, Ilham, Belyamani, Lahcen, Ibrahimi, Azeddine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153438/
https://www.ncbi.nlm.nih.gov/pubmed/37143606
http://dx.doi.org/10.2147/AABC.S394535
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author EL Haddoumi, Ghyzlane
Mansouri, Mariam
Bendani, Houda
Bouricha, El Mehdi
Kandoussi, Ilham
Belyamani, Lahcen
Ibrahimi, Azeddine
author_facet EL Haddoumi, Ghyzlane
Mansouri, Mariam
Bendani, Houda
Bouricha, El Mehdi
Kandoussi, Ilham
Belyamani, Lahcen
Ibrahimi, Azeddine
author_sort EL Haddoumi, Ghyzlane
collection PubMed
description PURPOSE: The enoyl-acyl carrier protein reductase (InhA) is one of the important key enzymes employed in mycolic acids biosynthesis pathway and an important component of mycobacterial cell walls. This enzyme has also been identified as major target of isoniazid drug, except that isoniazid needs to be activated first by the catalase peroxidase (KatG) protein to form the isonicotinoyl-NAD (INH-NAD) adduct that inhibits the action of InhA enzyme. However, this activation becomes more difficult and unreachable with the problem of mutation-related resistance caused mainly by acquired mutations in KatG and InhA protein. Our main interest in this study is to identify direct InhA inhibitors using computer-aided drug design. METHODS: Computer-aided drug design was used to solve this problem by applying three different approaches including mutation impact modelling, virtual screening and 3D-pharmacophore search. RESULTS: A total of 15 mutations were collected from the literature, then a 3D model was generated for each of them and their impact was predicted. Of the 15 mutations, 10 were found to be deleterious and have a direct effect on flexibility, stability and SASA of the protein. In virtual screening, from 1,000 similar INH-NAD analogues obtained by the similarity search method, 823 compounds passed toxicity filter and drug likeness rules, which were then docked to the wild-type of InhA protein. Subsequently, 34 compounds with binding energy score better than that of INH-NAD were selected and docked against the 10 generated mutated models of InhA. Only three leads showed a lower binding affinity better than the reference. The 3D-pharmacophore model approach was used to identify the common features between those three compounds by generating a pharmacophoric map. CONCLUSION: The result of this study may pave the way to develop more potent mutant-specific inhibitors to overcome this resistance.
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spelling pubmed-101534382023-05-03 Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach EL Haddoumi, Ghyzlane Mansouri, Mariam Bendani, Houda Bouricha, El Mehdi Kandoussi, Ilham Belyamani, Lahcen Ibrahimi, Azeddine Adv Appl Bioinform Chem Original Research PURPOSE: The enoyl-acyl carrier protein reductase (InhA) is one of the important key enzymes employed in mycolic acids biosynthesis pathway and an important component of mycobacterial cell walls. This enzyme has also been identified as major target of isoniazid drug, except that isoniazid needs to be activated first by the catalase peroxidase (KatG) protein to form the isonicotinoyl-NAD (INH-NAD) adduct that inhibits the action of InhA enzyme. However, this activation becomes more difficult and unreachable with the problem of mutation-related resistance caused mainly by acquired mutations in KatG and InhA protein. Our main interest in this study is to identify direct InhA inhibitors using computer-aided drug design. METHODS: Computer-aided drug design was used to solve this problem by applying three different approaches including mutation impact modelling, virtual screening and 3D-pharmacophore search. RESULTS: A total of 15 mutations were collected from the literature, then a 3D model was generated for each of them and their impact was predicted. Of the 15 mutations, 10 were found to be deleterious and have a direct effect on flexibility, stability and SASA of the protein. In virtual screening, from 1,000 similar INH-NAD analogues obtained by the similarity search method, 823 compounds passed toxicity filter and drug likeness rules, which were then docked to the wild-type of InhA protein. Subsequently, 34 compounds with binding energy score better than that of INH-NAD were selected and docked against the 10 generated mutated models of InhA. Only three leads showed a lower binding affinity better than the reference. The 3D-pharmacophore model approach was used to identify the common features between those three compounds by generating a pharmacophoric map. CONCLUSION: The result of this study may pave the way to develop more potent mutant-specific inhibitors to overcome this resistance. Dove 2023-04-28 /pmc/articles/PMC10153438/ /pubmed/37143606 http://dx.doi.org/10.2147/AABC.S394535 Text en © 2023 EL Haddoumi et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
EL Haddoumi, Ghyzlane
Mansouri, Mariam
Bendani, Houda
Bouricha, El Mehdi
Kandoussi, Ilham
Belyamani, Lahcen
Ibrahimi, Azeddine
Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach
title Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach
title_full Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach
title_fullStr Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach
title_full_unstemmed Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach
title_short Facing Antitubercular Resistance: Identification of Potential Direct Inhibitors Targeting InhA Enzyme and Generation of 3D-pharmacophore Model by in silico Approach
title_sort facing antitubercular resistance: identification of potential direct inhibitors targeting inha enzyme and generation of 3d-pharmacophore model by in silico approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153438/
https://www.ncbi.nlm.nih.gov/pubmed/37143606
http://dx.doi.org/10.2147/AABC.S394535
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