Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/37023
Title: Herbal informatics and in vitro validation: Bio-prospection model to develop potent antibiotics against multi-drug resistant ESKAPE microorganisms
Authors: Thakur, Pallavi
Chawla, Raman
Narula, Alka
Goel, Rajeev
Arora, Rajesh
Sharma, Rakesh Kumar
Keywords: Herbal informatics;Antimicrobial resistance;Herbal drug development;Superbugs;Natural plant products
Issue Date: Jan-2017
Publisher: NISCAIR-CSIR, India
IPC Code: Int. Cl.8: A61K 36/00, A61K, A61L, C12M, C12N, C12P
Abstract: ESKAPE refers to Enterococcus sp., Staphylococcus sp., Klebsiella sp., Acinetobacter sp., Pseudomonas sp., and Enterobacter sp. Nosocomial infections caused by ESKAPE pathogens have a high prevalence rate of 3.0-20.7% and an incidence rate of 5-10% globally, contributing to increased morbidity and mortality which has added noticeably to economic burden. Moreover, the chemotherapeutic modalities available for the management of ESKAPE pathogens confer serious hepato-renal toxicity. The rapid advancement of informatics approaches and literature surge led to the understanding of mechanism of action in more faster and specific manner. Some of the important virulence factors include adhesins, aerobactin system, hemolysin, capsular polysaccharides, biofilm formation, efflux pump, quorum sensing, beta-lactamase enzyme and various surface receptors that need to be targeted by using chemical modeling approaches. Six bacterial representative species of ESKAPE category were analyzed by targeting 05 virulence factors using combinatorial matrix approach. This in silico bioprospection analysis revealed 40 potential herbal leads amongst a database of 300 plants identified using classical bioprospection approach. The model has been validated at in vitro level against Carbapenem Resistant Enterobacteriaceae revealing 02 potent antibiotics (Berberis and Camellia sp.). The antibiotics were standardized using qualitative, quantitative and bioactivity descriptors.
Page(s): 113-120
URI: http://nopr.niscair.res.in/handle/123456789/37023
ISSN: 0975-1068 (Online); 0972-5938 (Print)
Appears in Collections:IJTK Vol.16(1) [January 2017]

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