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http://dx.doi.org/10.5808/GI.2016.14.4.241

Drug Target Identification and Elucidation of Natural Inhibitors for Bordetella petrii: An In Silico Study  

Rath, Surya Narayan (BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology)
Ray, Manisha (BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology)
Pattnaik, Animesh (BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology)
Pradhan, Sukanta Kumar (BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology)
Publication Information
Genomics & Informatics / v.14, no.4, 2016 , pp. 241-254 More about this Journal
Abstract
Environmental microbes like Bordetella petrii has been established as a causative agent for various infectious diseases in human. Again, development of drug resistance in B. petrii challenged to combat against the infection. Identification of potential drug target and proposing a novel lead compound against the pathogen has a great aid and value. In this study, bioinformatics tools and technology have been applied to suggest a potential drug target by screening the proteome information of B. petrii DSM 12804 (accession No. PRJNA28135) from genome database of National Centre for Biotechnology information. In this regards, the inhibitory effect of nine natural compounds like ajoene (Allium sativum), allicin (A. sativum), cinnamaldehyde (Cinnamomum cassia), curcumin (Curcuma longa), gallotannin (active component of green tea and red wine), isoorientin (Anthopterus wardii), isovitexin (A. wardii), neral (Melissa officinalis), and vitexin (A. wardii) have been acknowledged with anti-bacterial properties and hence tested against identified drug target of B. petrii by implicating computational approach. The in silico studies revealed the hypothesis that lpxD could be a potential drug target and with recommendation of a strong inhibitory effect of selected natural compounds against infection caused due to B. petrii, would be further validated through in vitro experiments.
Keywords
communicable diseases; computer simulation; drug delivery systems; inhibitory effect; in vitro techniques; natural compounds;
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