Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/50643
Title: In silico bioprospection analysis for identification of herbal compound targeting Clostridium difficile
Authors: Tanwar, Ankit
Zaidi, Ayesha Ali
Kaur, Harvinder
Rana, Navjot
Chawla, Raman
Basu, Mitra
Arora, Rajesh
Khan, Haider Ali
Keywords: Ayurvedic Medicinal System (AMS);Clostridium difficile;Ethnopharmacology;Herbal bioprospection;Multi-drug resistance;Nosocomial
Issue Date: Oct-2019
Publisher: NISCAIR-CSIR, India
IPC Code: Int. Cl.19: A61J 7/00, A61K 39/00, A61K 36/185, A61K 35/00, C04B 111/21, A61K 38/00
Abstract: Clostridium difficile infection (CDI), the occurrence has been increasing in the community as well as hospital-care facilities, resulting in higher morbidity and mortality rate. C. difficile, anaerobic pathogen greatly associated with antibiotic resistance and majorly linked to the irrational antibiotic use, which accelerate the alarming situation causing endemic as well epidemic globally. It is the budding menace and one of the major sources of nosocomial infection, i.e., hospital-acquired infection. The prevailing risk to public health by the antibiotics and their resistance majorly has driven the urge for utilizing the traditional herbal medicine into a sophisticated approach as a Modern/Ayurvedic Medicinal System (AMS). The current study aims to find out the promising herbals to combat the threat caused by C. difficile by applying herbal informatics as a holistic approach. Total 44 plants were elucidated against the virulence factors of the bacterium using the systematic bioprospection approach, out of which 5 plants were optimized that may be futher validated at the preclinical level.
Page(s): 655-661
URI: http://nopr.niscair.res.in/handle/123456789/50643
ISSN: 0975-1068 (Online); 0972-5938 (Print)
Appears in Collections:IJTK Vol.18(4) [October 2019]

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