Identification of a Potential Inhibitor Targeting MurC Ligase of the Drug Resistant Pseudomonas aeruginosa Strain through Structure-Based Virtual Screening Approach and In Vitro Assay

Abdelmonaem       Messaoudi; Manel       Zoghlami; Zarrin       Basharat; Najla       Sadfi-Zouaoui

doi:10.2174/1389201020666190719123133

Abstract

Background & Objective: Pseudomonas aeruginosa shows resistance to a large number of antibiotics, including carbapenems and third generation cephalosporin. According to the World Health Organization global report published in February 2017, Pseudomonas aeruginosa is on the priority list among resistant bacteria, for which new antibiotics are urgently needed. Peptidoglycan serves as a good target for the discovery of novel antimicrobial drugs.

Methods: Biosynthesis of peptidoglycan is a multi-step process involving four mur enzymes. Among these enzymes, UDP-N-acetylmuramate-L-alanine ligase (MurC) is considered to be an excellent target for the design of new classes of antimicrobial inhibitors in gram-negative bacteria.

Results: In this study, a homology model of Pseudomonas aeruginosa MurC ligase was generated and used for virtual screening of chemical compounds from the ZINC Database. The best screened inhibitor i.e. N, N-dimethyl-2-oxo-2,3-dihydro-1H-1,3-benzodiazole-5-sulfonamide was then validated experimentally through inhibition assay.

Conclusion: The presented results based on combined computational and in vitro analysis open up new horizons for the development of novel antimicrobials against this pathogen.

Keywords: P. aeruginosa, virtual screening, structure modeling, molecular docking, MurC ligase, peptidoglycan.

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DOI https://dx.doi.org/10.2174/1389201020666190719123133	Print ISSN 1389-2010
Publisher Name Bentham Science Publisher	Online ISSN 1873-4316

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Identification of a Potential Inhibitor Targeting MurC Ligase of the Drug Resistant Pseudomonas aeruginosa Strain through Structure-Based Virtual Screening Approach and In Vitro Assay

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