Literature DB >> 29633917

Multiple e-Pharmacophore modeling to identify a single molecule that could target both streptomycin and paromomycin binding sites for 30S ribosomal subunit inhibition.

Anju C P1, Sunitha Subhramanian1, Natalia Sizochenko2, Anu R Melge1, Jerzy Leszczynski2, C Gopi Mohan1.   

Abstract

The bacterial ribosome is an established target for anti-bacterial therapy since decades. Several inhibitors have already been developed targeting both defined subunits (50S and 30S) of the ribosome. Aminoglycosides and tetracyclines are two classes of antibiotics that bind to the 30S ribosomal subunit. These inhibitors can target multiple active sites on ribosome that have a complex structure. To screen putative inhibitors against 30S subunit of the ribosome, the crystal structures in complex with various known inhibitors were analyzed using pharmacophore modeling approach. Multiple active sites were considered for building energy-based three-dimensional (3D) pharmacophore models. The generated models were validated using enrichment factor on decoy data-set. Virtual screening was performed using the developed 3D pharmacophore models and molecular interaction towards the 30S ribosomal unit was analyzed using the hits obtained for each pharmacophore model. The hits that were common to both streptomycin and paromomycin binding sites were identified. Further, to predict the activity of these hits a robust 2D-QSAR model with good predictive ability was developed using 16 streptomycin analogs. Hence, the developed models were able to identify novel inhibitors that are capable of binding to multiple active sites present on 30S ribosomal subunit.

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Keywords:  2D-QSAR – two-dimensional quantitative structure activity relationship; ADMET – absorption distribution metabolism excretion toxicity; EF – enrichment factor; MACCS – molecular access system; PPF – paromomycin pharmacophore; QSAR; SPF – streptomycin pharmacophore; Tc – tanimotto coefficient; VS – virtual screening; bacteria; docking; e-Pharmacophore – energy-based Pharmacophore; pharmacophore; ribosome; virtual screening

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Year:  2018        PMID: 29633917     DOI: 10.1080/07391102.2018.1462731

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  1 in total

1.  Aerolysin gene characterization and antimicrobial resistance profile of Aeromonas hydrophila isolated from milkfish (Chanos chanos) in Gresik, Indonesia.

Authors:  Faisal Fikri; Dhandy Koesoemo Wardhana; Agus Purnomo; Shafia Khairani; Shekhar Chhetri; Muhammad Thohawi Elziyad Purnama
Journal:  Vet World       Date:  2022-07-23
  1 in total

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