Literature DB >> 31103406

Design, synthesis, in-silico studies and biological screening of quinazolinone analogues as potential antibacterial agents against MRSA.

Shahnawaz I Qureshi1, Hemchandra K Chaudhari2.   

Abstract

Type or The emergence of resistance to antibiotic has developed a complicated situation in the treatment of bacterial infections. Considering the antimicrobial resistance phenomenon as one of the greatest challenge of medicinal chemists for search of better anti-bacterial agents, which have potential narrow spectrum activity with low development of resistance potential and low toxicity to host. Cross-linking of peptidoglycan is a key step catalyze by Penicillin binding protein (PBP) to maintain integrity of cell wall in bacterial cell. However, these Penicillin binding protein (PBP) has developed resistance in methicillin-resistant Staphylococcus aureus (MRSA) due to acquisition of additional PBP2a. Various Quinazolinone analogues are reported in literature as potential anti-bacterial agents against MRSA. In present study new quinazolinone analogues has been designed, guided by molecular docking, In-silico and MM-GBSA study. Newly designed molecules have been synthesized by medicinal chemistry route and their characterization was done by using IR, NMR, & HR-MS techniques. Biological evaluation of synthesized compounds has been done on wild type Gram-negative (Escherichia coli), Gram-positive (Staphylococcus aureus) and resistant MRSA bacterial strains using Streptomycin, Kanamycin and Linezolid as standard drugs respectively. The in vitro evaluation results have shown that compound 5f is active with MIC value 15.625 μg/mL against S. aureus and with MIC value 31.25 μg/mL against MRSA.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antibacterial; Docking; MM-GBSA; Microbial resistance; Penicillin binding protein 2a

Year:  2019        PMID: 31103406     DOI: 10.1016/j.bmc.2019.05.012

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  6 in total

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Review 6.  Cheminformatic Characterization of Natural Antimicrobial Products for the Development of New Lead Compounds.

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  6 in total

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