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Computational design and evaluation of hydrantoin derivatives as potential anti-tubercular agents: Insight from ADMET, molecular docking, DFT, and molecular dynamic simulations

Thomas Aondofa Nyijime, Gideon Adamu Shallangwa, Adamu Uzairu, Abdullahi Bello Umar, Muhammad Tukur Ibrahim, Inemesit A. Udofia, Vincent A. Obakachi, Krishna K. Govender

2025Letters in Drug Design & Discovery6 citationsDOIOpen Access PDF

Abstract

The global burden of tuberculosis and the rise of drug-resistant Mycobacterium tuberculosis strains continue to challenge effective disease control, underscoring the need for novel therapeutic agents with improved efficacy and safety profiles. This study aimed to design and computationally evaluate hydantoin-based derivatives as potential InhA inhibitors for anti-tubercular drug development. A series of sixty-three compounds were subjected to molecular docking–based virtual screening to identify promising InhA inhibitors. Molecular dynamics simulations were performed to characterize ligand-protein interactions and stability. The candidates were assessed for drug-likeness and pharmacokinetic properties, while density functional theory (DFT) calculations were conducted to examine their electronic reactivity. Six compounds (3, 23, 25, 28, 45, and 53) exhibited higher binding affinities, with MolDock scores from −137.26 to −151.66 kcal/mol and re-rank scores between −99.26 and −112.32 kcal/mol, outperforming isoniazid (-48.59 and −45.69 kcal/mol). Compound 53 showed stable binding over a 300 ns simulation and served as a template for new derivative design. This yielded six analogues with improved affinities (MolDock: −156.53 to −170.37 kcal/mol; re-rank: −120.18 to −134.43 kcal/mol). Pharmacological profiling confirmed favourable drug-likeness and ADMET properties with minimal Lipinski violations. DFT analysis revealed strong electronic reactivity, particularly for compounds 23 and 53b. These results highlight compounds 23 and 53b as promising scaffolds for InhA inhibition and suggest their potential as lead structures for future anti-tubercular drug discovery. • Sixty-three hydantoin derivatives were assessed as potential inhibitors of M. tuberculosis InhA.· Docking identified six leads with stronger binding affinities than isoniazid. • DFT analysis showed compounds 23 and 53 had enhanced reactivity and stability. • ADMET and drug-likeness confirmed good pharmacokinetic and oral bioavailability. • MD and MM/GBSA identified compound 53b as a stable and promising lead over 300 ns.

Topics & Concepts

INHAChemistryMolecular dynamicsBinding affinitiesVirtual screeningDocking (animal)Combinatorial chemistryDensity functional theoryComputational chemistryMycobacterium tuberculosisDrugLipinski's rule of fiveDrug discoveryStereochemistryAffinitiesComputational biologyLead compoundMolecular modelMolecular descriptorPharmacologyIsoniazidTuberculosisPharmacokineticsSmall moleculeBinding siteStructure–activity relationshipAntimycobacterialTuberculosis Research and EpidemiologyComputational Drug Discovery MethodsSynthesis and biological activity