Drug Target Identification and Elucidation of Natural Inhibitors forBordetella petrii: AnIn SilicoStudy.
Environmental microbes likeBordetella petriihas been established as a causative agent for various infectious diseases in human. Again, development of drug resistance inB. petriichallenged 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 ofB. petriiDSM 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 ofB. petriiby implicating computational approach. Thein silicostudies 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 toB. petrii, would be further validated throughin vitroexperiments.
BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology, Bhubaneswar 751003, India.
Surya Narayan
SN
Rath
BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology, Bhubaneswar 751003, India.
Manisha
M
Ray
BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology, Bhubaneswar 751003, India.
Animesh
A
Pattnaik
BIF Centre, Department of Bioinformatics, Orissa University of Agriculture and Technology, Bhubaneswar 751003, India.
Sukanta Kumar
SK
Pradhan
communicable diseases; computer simulation; drug delivery systems; in vitro techniques; inhibitory effect; natural Compounds