ArticleJournal of molecular modeling2020
Identification of promising molecules against MurD ligase from Acinetobacter baumannii: insights from comparative protein modelling, virtual screening, molecular dynamics simulations and MM/PBSA analysis.
Article in Journal of molecular modeling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 26 citations in OpenAlex.
- Toward stabilization of bioactive folate produced by indigenous lactic acid bacteria via BSA complexation.World journal of microbiology & biotechnology · 2025Article
- The zinc metalloprotein MigC impacts cell wall biogenesis through interactions with an essential Mur ligase in Acinetobacter baumannii.PLoS pathogens · 2025Article
- Virtual Screening and Dynamic Simulation of Baloxavir Derivatives for Multitarget Breast Cancer Treatment.Anti-cancer agents in medicinal chemistry · 2025Article
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- Integrated computational strategies for Polypharmacological profiling and identification of anti-inflammatory targets in Rungia pectinata L.Journal of cellular and molecular medicine · 2024Article
- Computational exploration of palmitoyl-protein thioesterase 1 inhibition byJournal of Taibah University Medical Sciences · 2024Article
- Exploring the potential ofJournal of Taibah University Medical Sciences · 2024Article
- Exploration of potential hit compounds targeting 1-deoxy-d-xylulose 5-phosphate reductoisomerase (IspC) from3 Biotech · 2024Article
- Unrealized targets in the discovery of antibiotics for Gram-negative bacterial infections.Nature reviews. Drug discovery · 2023Review
- Identification and prioritization of potential therapeutic molecules against LpxA fromCurrent research in structural biology · 2023Article
- Recent developments on UDP-N-acetylmuramoyl-L-alanine-D-gutamate ligase (Mur D) enzyme for antimicrobial drug development: An emphasis on in-silico approaches.Current research in pharmacology and drug discovery · 2022Review
- Potential activity of Linezolid against SARS-CoV-2 using electronic and molecular docking study.Journal of molecular modeling · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acinetobacter baumannii, an opportunistic bacterium of the multidrug-resistant (MDR) ESKAPE family of pathogens, is responsible for 2-10% infections associated with all gram-negative bacteria. The hospital-acquired nosocomial infections caused by A.baumannii include deadly diseases like ventilator-associated pneumonia, bacteremia, septicemia and urinary tract infections (UTI). Over the last 3 years, it has evolved into multiple strains demonstrating high antibiotic resistance against a wide array of antibiotics. Hence, it becomes imperative to identify novel drug-like molecules to treat such infections effectively. UDP-N-acetylmuramoyl-L-alanine-D-glutamate ligase (MurD) is an essential enzyme of the Mur family which is responsible for peptidoglycan biosynthesis, making it a unique and ideal drug target. Initially, a homology modelling approach was employed to predict the three-dimensional model of MurD from A. baumannii using MurD from Escherichia coli (PDB ID: 4UAG) as a suitable structural template. Subsequently, an optimised model of MurD was subjected to virtual high-throughput screening (vHTS) against a ZINC library of ~ 642,759 commercially available molecules to identify promising lead compounds demonstrating high binding affinities towards it. From the screening process, four promising molecules were identified based on the estimated binding affinities (ΔG), estimated inhibition constants (Ki), catalytic residue interactions and drug-like properties, which were then subjected to molecular dynamics (MD) simulation studies to reflect the physiological state of protein molecules in vivo equivalently. The binding free energies of the selected MurD-ligand complexes were also calculated using MM/PBSA (molecular mechanics with Poisson-Boltzmann and surface area solvation) approach. Finally, the global dynamics along with binding free energy analysis suggested that ZINC19221101 (ΔG = - 62.6 ± 5.6 kcal/mol) and ZINC12454357 (ΔG = - 46.1 ± 2.6 kcal/mol) could act as most promising candidates for inhibiting the function of MurD ligase and aid in drug discovery and development against A.baumannii. Graphical abstract.
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