Literature DB >> 27817242

Nanoparticle Fullerene (C60) demonstrated stable binding with antibacterial potential towards probable targets of drug resistant Salmonella typhi - a computational perspective and in vitro investigation.

Sinosh Skariyachan1, Asma Parveen1, Shruti Garka1.   

Abstract

Salmonella typhi, a Gram negative bacterium, has become multidrug resistant (MDR) to wide classes of antibacterials which necessitate an alarming precaution. This study focuses on the binding potential and therapeutic insight of Nano-Fullerene C60 towards virulent targets of Salmonella typhi by computational prediction and preliminary in vitro assays. The clinical isolates of Salmonella typhi were collected and antibiotic susceptibility profiles were assessed. The drug targets of pathogen were selected by rigorous literature survey and gene network analysis by various metabolic network resources. Based on this study, 20 targets were screened and the 3D structures of few drug targets were retrieved from PDB and others were computationally predicted. The structures of nanoleads such as Fullerene C60, ZnO and CuO were retrieved from drug databases. The binding potential of these nanoleads towards all selected targets were predicted by molecular docking. The best docked conformations were screened and concept was investigated by preliminary bioassays. This study revealed that most of the isolates of Salmonella typhi were found to be MDR (p < .05). The theoretical models of selected drug targets showed high stereochemical validity. The molecular docking studies suggested that Fullerene C60 showed better binding affinity towards the drug targets when compared to ZnO and CuO. The preliminary in vitro assays suggested that 100 μg/L Fullerene C60 posses significant inhibitory activities and absence of drug resistance to this nanoparticle. This study suggests that Fullerene C60 can be scaled up as probable lead molecules against the major drug targets of MDR Salmonella typhi.

Entities:  

Keywords:  Salmonella typhi; computational prediction; fullerene C60; gene network analysis; molecular docking Nanoleads; multi-drug resistant; therapeutic potential; virulent target proteins

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Substances:

Year:  2016        PMID: 27817242     DOI: 10.1080/07391102.2016.1257441

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


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