A structure-based in silico workflow comprising virtual screening of 2,202 FDA-approved compounds, molecular docking, molecular docking, 300 ns molecular dynamics simulation, and in silico toxicity profiling provide a strong computational basis for repurposing these agents as adjunct anti-TB therapies, pending experimental validation.
Abstract
Mycobacterium tuberculosis
(MTB) remains a deadly infectious agent and a global health challenge, particularly due to the emergence of multidrug-resistant strains. Mycobacterial serine/threonine protein kinase E (PknE) is vital for mycobacterial survival under nitric oxide stress by altering Toll-like receptor expression, suppressing apoptosis, increasing inflammation, and modulating costimulatory molecules. This study employed a structure-based in silico workflow comprising virtual screening of 2,202 FDA-approved compounds, molecular docking, 300 ns molecular dynamics (MD) simulation molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) binding free energy calculations, principal component analysis (PCA), free energy landscape (FEL) analysis, and in silico toxicity profiling, to identify candidate PknE inhibitors. Molecular docking identified netilmicin, dirithromycin, acarbose, and ertapenem as top candidates, with docking scores of − 13.13 to − 15.86 kcal/mol. MD simulations confirmed complex stability with RMSD values near 1 nm, while MM/PBSA analysis revealed favourable binding free energies: netilmicin (− 1.47 ± 0.18), ertapenem (− 11.70 ± 1.22), dirithromycin (− 17.80 ± 0.13), and acarbose (− 18.90 ± 0.06 kcal/mol). PCA-based FEL analysis confirmed thermodynamic stability across all complexes, with DTM–PknE exhibiting the lowest minimum Gibbs free energy (15.7 kJ/mol). In silico toxicity profiling demonstrated acceptable safety profiles for all leads. These findings provide a strong computational basis for repurposing these agents as adjunct anti-TB therapies, pending experimental validation.
Findings support MurX as a viable therapeutic target and Bergenin as a promising candidate for further anti-TB drug development, and lays the foundation for subsequent experimental validation and the design of novel therapeutics targeting resistant strains of Mtb.
Tuberculosis (TB) remains a leading cause of mortality globally, driven by the infectious pathogen, Mycobacterium tuberculosis (M.tb). A novel DNA methyltransferase (DNA MTase), encoded by the Rv1509 gene and involved in TB pathogenesis, has been identified as a promising therapeutic target of anti-TB drugs. The presen...
The combination of virtual screening, ADME studies, and MD simulations enabled the identification of phytochemicals with promising interactions toward InhA, an established anti-TB target, and should be interpreted as preliminary evidence of target engagement rather than confirmed inhibitory activity or therapeutic effi...
D. Kumar, Bhoomika, Alka Khichi et al.· Current Computer - Aided Dru...· 0 citations
A cost-effective computational workflow for prioritizing ENR inhibitors is demonstrated, providing a foundation for the development of novel antimalarial agents and highlighting Cd3 and Cd5 as the most promising candidates for further development.
Abozur Mohamed Mohyeldin Khalil, Carlos Eliel Maya-Ramírez, A. A. Razzak Mahmood et al.· In Silico Pharmacology· 0 citations
Tuberculosis (TB) caused by
Mycobacterium tuberculosis
(Mtb) remains a major global health threat, particularly with rising drug resistance. Protein kinase B (PknB), an essential mycobacterial Ser/Thr kinase absent in humans, is a promising therapeutic target. This study describes the use of an integrated computa...
Tuberculosis is a virulent infection caused by Mycobacterium tuberculosis and inclined as a major global health concern. Development of multidrug-resistance and extensively drug-resistance by strains, drug toxicity and co-infection with HIV are the significant reasons for limiting the success of existing therapies. The...
Kanala Somasekhar Reddy· Natural Resources for Human...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.