Computational identification of indispensable virulence proteins of Salmonella Typhi CT18
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 d...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Book Section |
| Language: | English |
| Published: |
InTech Open
2017
|
| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/905/ http://eprints.sunway.edu.my/905/1/Chandrajit%20Computation%20Identification_Book%20Chapter.pdf |
| _version_ | 1848801926001459200 |
|---|---|
| author | Pawar, Shrikant Ashraf, Md. Izhar Mehata, Kondamudi Manobhai Lahiri, Chandrajit * |
| author2 | Mares, Mihai |
| author_facet | Mares, Mihai Pawar, Shrikant Ashraf, Md. Izhar Mehata, Kondamudi Manobhai Lahiri, Chandrajit * |
| author_sort | Pawar, Shrikant |
| building | SU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T21:15:12Z |
| format | Book Section |
| id | sunway-905 |
| institution | Sunway University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:15:12Z |
| publishDate | 2017 |
| publisher | InTech Open |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | sunway-9052019-04-26T07:11:44Z http://eprints.sunway.edu.my/905/ Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 Pawar, Shrikant Ashraf, Md. Izhar Mehata, Kondamudi Manobhai Lahiri, Chandrajit * QH301 Biology 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. InTech Open Mares, Mihai 2017-04-05 Book Section PeerReviewed text en cc_by_nd http://eprints.sunway.edu.my/905/1/Chandrajit%20Computation%20Identification_Book%20Chapter.pdf 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 http://doi.org/10.5772/66489 doi:10.5772/66489 |
| spellingShingle | QH301 Biology Pawar, Shrikant Ashraf, Md. Izhar Mehata, Kondamudi Manobhai Lahiri, Chandrajit * Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 |
| title | Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 |
| title_full | Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 |
| title_fullStr | Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 |
| title_full_unstemmed | Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 |
| title_short | Computational identification of indispensable virulence proteins of Salmonella Typhi CT18 |
| title_sort | computational identification of indispensable virulence proteins of salmonella typhi ct18 |
| topic | QH301 Biology |
| url | http://eprints.sunway.edu.my/905/ http://eprints.sunway.edu.my/905/ http://eprints.sunway.edu.my/905/ http://eprints.sunway.edu.my/905/1/Chandrajit%20Computation%20Identification_Book%20Chapter.pdf |