Computational drug discovery of nitroimidazole compounds targeting Ddn protein of Mycobacterium tuberculosis: insights from QSAR modeling, ADMET, molecular docking, and molecular dynamics simulation studies

Still a major worldwide health issue, tuberculosis requires the development of new medicinal drugs. Computational techniques, including QSAR modeling, molecular docking, ADMET analysis, and molecular dynamics simulation, were used in this work, which examines the antitubercular potential of a nitroimidazole derivative targeting the Ddn protein of Mycobacterium tuberculosis . A multiple linear regression-based QSAR model (R 2 = 0.8313, Q 2 LOO = 0.7426) created using QSARINS software shows strong prediction accuracy for anti-TB activity. Using molecular docking experiments (AutoDockTool 1.5.7), DE-5 compound was found to be the most promising molecule with a binding affinity of -7.81 kcal/mol and important hydrogen bonding interactions with active site residues PRO A:63, LYS A:79, and MET A:87. High bioavailability, good pharmacokinetics, and low toxicity risk were found by ADMET profiling (SwissADME). A 100 ns molecular dynamics simulation confirmed the stability of the DE-5-Ddn complex, as indicated by minimal Root Mean Square deviation, stable hydrogen bonds, low Root Mean Square Fluctuation, and compact structure reflected in Solvent Accessible Surface Area and radius of gyration values. Furthermore, MM/GBSA computations (-34.33 kcal/mol) confirmed a strong binding affinity and hence supporting DE-5's activity potential. These findings suggest that DE-5 is a suitable potential compound to advance the creation of new tuberculosis therapies targeting the Ddn protein. This work opens the path for logical drug design strategies in the TB battle. • Developed QSAR model for anti-TB activity of nitroimidazole compounds • Docking revealed DE-5 as a potent Ddn protein inhibitor • ADMET profiling confirmed DE-5’s good drug-likeness and safety • MD simulation showed stable DE-5-Ddn binding with key residues • Study supports DE-5 as a lead for TB drug development

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Publication Details

Journal
Medicine in Novel Technology and Devices
Published
2025-09-23
DOI
https://doi.org/10.1016/j.medntd.2025.100406
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
3.01
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article

Computational drug discovery of nitroimidazole compounds targeting Ddn protein of Mycobacterium tuberculosis: insights from QSAR modeling, ADMET, molecular docking, and molecular dynamics simulation studies

S. Palanivel, Anguraj Moulishankar, M. K. Kathiravan, S. Murugan et al.
2 citations
Medicine in Novel Technology and Devices
Computational Drug Discovery Methods
3.01
article

Computational drug discovery of nitroimidazole compounds targeting Ddn protein of Mycobacterium tuberculosis: insights from QSAR modeling, ADMET, molecular docking, and molecular dynamics simulation studies

S. Palanivel, Anguraj Moulishankar, M. K. Kathiravan, S. Murugan, Sundarrajan Thirugnanasambandam
article en
2 citations

Abstract

Still a major worldwide health issue, tuberculosis requires the development of new medicinal drugs. Computational techniques, including QSAR modeling, molecular docking, ADMET analysis, and molecular dynamics simulation, were used in this work, which examines the antitubercular potential of a nitroimidazole derivative targeting the Ddn protein of Mycobacterium tuberculosis . A multiple linear regression-based QSAR model (R 2 = 0.8313, Q 2 LOO = 0.7426) created using QSARINS software shows strong prediction accuracy for anti-TB activity. Using molecular docking experiments (AutoDockTool 1.5.7), DE-5 compound was found to be the most promising molecule with a binding affinity of -7.81 kcal/mol and important hydrogen bonding interactions with active site residues PRO A:63, LYS A:79, and MET A:87. High bioavailability, good pharmacokinetics, and low toxicity risk were found by ADMET profiling (SwissADME). A 100 ns molecular dynamics simulation confirmed the stability of the DE-5-Ddn complex, as indicated by minimal Root Mean Square deviation, stable hydrogen bonds, low Root Mean Square Fluctuation, and compact structure reflected in Solvent Accessible Surface Area and radius of gyration values. Furthermore, MM/GBSA computations (-34.33 kcal/mol) confirmed a strong binding affinity and hence supporting DE-5's activity potential. These findings suggest that DE-5 is a suitable potential compound to advance the creation of new tuberculosis therapies targeting the Ddn protein. This work opens the path for logical drug design strategies in the TB battle. • Developed QSAR model for anti-TB activity of nitroimidazole compounds • Docking revealed DE-5 as a potent Ddn protein inhibitor • ADMET profiling confirmed DE-5’s good drug-likeness and safety • MD simulation showed stable DE-5-Ddn binding with key residues • Study supports DE-5 as a lead for TB drug development

Medicine in Novel Technology and DevicesVol. 28
SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 7%
Computational Drug Discovery Methods
3.01
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