|
Twitter
|
Facebook
|
Google+
|
VKontakte
|
LinkedIn
|
Viadeo
|
English
|
Français
|
Español
|
العربية
|
 
International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Friday 29 March 2024

About IJIAS

News

Submission

Downloads

Archives

Custom Search

Contact

  • Contact us
  • Newsletter:

Connect with IJIAS

  Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

In silico modeling for Identification of promising antimicrobials of Herbal origin against highly virulent pathogenic strains of bacteria like New Delhi Metallo-beta-lactamase -1 Escherichia coli


Volume 4, Issue 3, November 2013, Pages 582–592

 In silico modeling for Identification of promising antimicrobials of Herbal origin against highly virulent pathogenic strains of bacteria like New Delhi Metallo-beta-lactamase -1 Escherichia coli

Pallavi Thakur1, Raman Chawla2, Rajeev Goel3, Rajesh Arora4, and Rakesh Kumar Sharma5

1 Division of CBRN Defence, Institute of Nuclear Medicine and Allied Sciences, Delhi, India
2 Division of CBRN Defence, Institute of Nuclear Medicine and Allied Sciences, Delhi, India
3 Division of CBRN Defence, Institute of Nuclear Medicine and Allied Sciences, Delhi, India
4 Office of Cc R&D (Ls), Defence Research and Development Organisation, DRDO Bhawan, Delhi, India
5 Division of CBRN Defence, Institute of Nuclear Medicine and Allied Sciences, Delhi, India

Original language: English

Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Drug resistance has mushroomed up after advent of every major class of antimicrobial drugs, varying in time from as short as 1 year (penicillin) to >10 years. Organisms associated with nosocomial and community acquired infections are also becoming drug resistant due to the over utilization of antibiotics, consequently leading to high morbidity, mortality and increased health costs. One such example of a beta lactamase producing bacteria is New Delhi Metallo beta lactamase (NDM-1) producing Escherichia coli and Klebsiella pneumoniae, and was reported for the first time in the year 2009 in a Swedish patient. NDM-1 bacterial strains possess more potent hydrolysis ability towards almost all antibiotics, including Carbapenems. NDM-1 bacterial strains are sensitive to Tigecycline and Colistin but there is problem of side effects associated with them. In such a situation where NDM-1 strains are displacing antibiotic sensitive strains and are resistant to most of the chemotherapeutic agents, there is a need for the search of novel alternative effective therapeutic agents. The present bioprospective study aims to analyze the potential of various natural plants or their products, based upon bioactivity parameters and presence of chemical constituents, using matrix based modeling, followed by optimization. The outcomes of the lead identification need verification with respect to antimicrobial potential against virulent NDM-1 Escherichia coli.

Author Keywords: Antimicrobial agents, Herbal mitigation, Matrix modeling, Ethno pharmacology, Antibiotic resistance, Superbugs, NDM-1 Escherichia coli.


How to Cite this Article


Pallavi Thakur, Raman Chawla, Rajeev Goel, Rajesh Arora, and Rakesh Kumar Sharma, “In silico modeling for Identification of promising antimicrobials of Herbal origin against highly virulent pathogenic strains of bacteria like New Delhi Metallo-beta-lactamase -1 Escherichia coli,” International Journal of Innovation and Applied Studies, vol. 4, no. 3, pp. 582–592, November 2013.