Docking-Based Virtual Screening and Molecular Dynamics Simulations of Quercetin Analogs as Enoyl-Acyl Carrier Protein Reductase (InhA) Inhibitors of <i>Mycobacterium tuberculosis</i>

The emergence of multidrug-resistant <i>Mycobacterium tuberculosis</i> (MTB) has become a major problem in treating tuberculosis (TB) and shows the need to develop new and efficient drugs for better TB control. This study aimed to use in silico techniques to discover potential inhibitors...

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Bibliographic Details
Main Authors: Dian Ayu Eka Pitaloka, Dwi Syah Fitra Ramadhan, Arfan, Lidya Chaidir, Taufik Muhammad Fakih
Format: Article
Language:English
Published: Österreichische Apotheker-Verlagsgesellschaft m. b. H. 2021-05-01
Series:Scientia Pharmaceutica
Subjects:
Online Access:https://www.mdpi.com/2218-0532/89/2/20
Description
Summary:The emergence of multidrug-resistant <i>Mycobacterium tuberculosis</i> (MTB) has become a major problem in treating tuberculosis (TB) and shows the need to develop new and efficient drugs for better TB control. This study aimed to use in silico techniques to discover potential inhibitors to the Enoyl-[acyl-carrier-protein] reductase (InhA), which controls mycobacterial cell wall construction. Initially, 391 quercetin analogs present in the KNApSAck_3D database were selected, filters were sequentially applied by docking-based virtual screening. After recategorizing the variables (bond energy prediction and molecular interaction, including hydrogen bond and hydrophobic bond), compounds C00013874, C00006532, and C00013887 were selected as hit ligands. These compounds showed great hydrophobic contributions, and for each hit ligand, 100 ns of molecular dynamic simulations were performed, and the binding free energy was calculated. C00013874 demonstrated the greatest capacity for the InhA enzyme inhibition with ΔGbind = −148.651 kcal/mol compare to NAD (native ligand) presented a ΔGbind = −87.570 kcal/mol. These data are preliminary studies and might be a suitable candidate for further experimental analysis.
ISSN:0036-8709
2218-0532