Computational identification of indispensable virulence proteins of Salmonella Typhi CT18

Pawar, Shrikant and Ashraf, Md. Izhar and Mehata, Kondamudi Manobhai and Lahiri, Chandrajit * (2017) Computational identification of indispensable virulence proteins of Salmonella Typhi CT18. In: Current Topics in Salmonella and Salmonellosis. InTech Open, p. 483. ISBN 978-953-51-3066-6

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Typhoid infections have become an alarming concern with the increase of multidrug resistant strains of Salmonella serovars. The new pathogenic Gram-negative strains are resistant to most antibiotics such as chloramphenicol, ampicillin, trimethoprim, ciprofloxacin and even co-trimoxazole and their derivatives thereby causing numerous outbreaks in the Indian subcontinent, Southeast Asian and African countries. Conventional and modern methods of typing had been adopted to differentiate outbreak strains. However, identifying the most indispensable proteins from the complete set of proteins of the whole genome of Salmonella sp., comprising the Salmonella pathogenicity islands (SPI) responsible for virulence, has remained an ever challenging task. We have adopted a network-based method to figure out, albeit theoretically, the most significant proteins which might be involved in the resistance to antibiotics of the Salmonella sp. An understanding of the above will provide insight into conditions that are encountered by this pathogen during the course of infection, which will further contribute in identifying new targets for antimicrobial agents.

Item Type: Book Section
Uncontrolled Keywords: Salmonella; Salmonella pathogenicity island; SicA; eigen vector centrality;k-core analysis
Subjects: Q Science > QH Natural history > QH301 Biology
Divisions: Others > Non Sunway Academics
Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Biological Sciences moved to SMLS wef 2021
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 26 Sep 2018 03:10
Last Modified: 26 Apr 2019 07:11

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