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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(2): 3426-3431
DOI: https://doi.org/10.20546/ijcmas.2018.702.408


In silico Analysis for Functional Predicition of Salmonella typhi Gene in Human Infection through Threading Model
Surina Bhadu1, Vishal Agrawal2, Himani1 and Jayanti Tokas1*
1Department of Chemistry and Biochemistry, COBS & H, CCS HAU, Hisar 125004, Haryana, India
2Department of Biochemistry, Panjab University, Chandigarh, India
*Corresponding author
Abstract:

Salmonella typhi is the Gram negative bacteria that have the ability to infect humans via transferring an effector protein into host cells through type III secretion system. This effector protein starts interfering various host mechanisms which helps in bacterial survival. Antibiotics activate the immune system against infection but sometimes bacteria develop resistance by modulating its mechanism. The present study was carried out to explore an uncharacterized gene which may be involved in infection enhancement. YejF gene was selected from transcriptomic data analysis and its function prediction was done by in silico studies with the help of similarity in structure of YejF model to their homologs. This study revealed that YejF protein is a part of transporter family which is enrolled in probably transferring the effector protein into human cells.


Keywords: Bacterial, Gram negative bacteria, Homologs, Infection, Salmonella typhi, YejF gene
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How to cite this article:

Surina Bhadu, Vishal Agrawal, Himani and Jayanti Tokas. 2018. In silico Analysis for Functional Predicition of Salmonella typhi Gene in Human Infection through Threading Model.Int.J.Curr.Microbiol.App.Sci. 7(2): 3426-3431. doi: https://doi.org/10.20546/ijcmas.2018.702.408