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BioMed Research International
Volume 2017 (2017), Article ID 3783714, 9 pages
https://doi.org/10.1155/2017/3783714
Research Article

Application of the Subtractive Genomics and Molecular Docking Analysis for the Identification of Novel Putative Drug Targets against Salmonella enterica subsp. enterica serovar Poona

Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh

Correspondence should be addressed to Md. Ismail Hosen; db.ca.ud@nesoh.liamsi

Received 4 April 2017; Revised 1 June 2017; Accepted 13 July 2017; Published 17 August 2017

Academic Editor: Mai S. Li

Copyright © 2017 Tanvir Hossain et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Barh, S. Tiwari, N. Jain et al., “In silico subtractive genomics for target identification in human bacterial pathogens,” Drug Development Research, vol. 72, no. 2, pp. 162–177, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. M. I. Hosen, A. M. Tanmoy, D.-A. Mahbuba et al., “Application of a subtractive genomics approach for in silico identification and characterization of novel drug targets in Mycobacterium tuberculosis F11,” Interdisciplinary Sciences: Computational Life Sciences, vol. 6, no. 1, pp. 48–56, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. P. Jain, S. Nandy, R. Bharadwaj, S. K. Niyogi, and S. Dutta, “Salmonella enterica serovar Weltevreden ST1500 associated foodborne outbreak in Pune, India,” Indian Journal of Medical Research, vol. 141, pp. 239–241, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. CDC, “Foodborne Diseases Active Surveillance Network (FoodNet),” Emerging Infectious Diseases, vol. 3, no. 4, pp. 581–583, 1997. View at Publisher · View at Google Scholar
  5. C. Basler, L. Bottichio, J. Higa, B. Prado, M. Wong, and S. Bosch, “Multistate Outbreak of Human,” MMWR. Morbidity and Mortality Weekly Report, vol. 64, no. 29, p. 804, 2015. View at Publisher · View at Google Scholar
  6. E. Scallan, R. M. Hoekstra, F. J. Angulo et al., “Foodborne Illness Acquired in the United States (Reply),” Emerging Infectious Diseases, vol. 17, no. 1, pp. 7–15, 2011. View at Publisher · View at Google Scholar
  7. “Vital signs: incidence and trends of infection with pathogens transmitted commonly through food—foodborne diseases active surveillance network, 10 U.S. sites, 19962010,” MMWR Morb Mortal Wkly Rep, vol. 22, pp. 749–755, 2011.
  8. D. J. Vugia, M. Samuel, M. M. Farley et al., “Invasive Salmonella infections in the United States, foodnet, 1996-1999: Incidence, serotype distribution, and outcome,” Clinical Infectious Diseases, vol. 38, no. 3, pp. S149–S156, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. A. C. Brown, J. E. Grass, L. C. Richardson, A. L. Nisler, A. S. Bicknese, and L. H. Gould, “Antimicrobial resistance in Salmonella that caused foodborne disease outbreaks: United States, 2003–2012,” Epidemiology and Infection, vol. 145, no. 4, pp. 766–774, 2017. View at Publisher · View at Google Scholar
  10. M. Tanabe and M. Kanehisa, “Using the KEGG database resource,” CurrProtoc Bioinformatics, 2012, CurrProtoc Bioinformatics. View at Google Scholar
  11. C. S. Yu, C. J. Lin, and J. K. Hwang, “Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions,” Protein Science, vol. 13, no. 5, pp. 1402–1406, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Knox, V. Law, T. Jewison et al., “DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs,” Nucleic Acids Research, vol. 39, no. 1, pp. D1035–D1041, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. O. Trott and A. J. Olson, “AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading,” Journal of Computational Chemistry, vol. 31, no. 2, pp. 455–461, 2010. View at Publisher · View at Google Scholar
  14. M. A. Hasan, M. A. Khan, T. Sharmin, M. H. Hasan Mazumder, and A. S. Chowdhury, “Identification of putative drug targets in Vancomycin-resistant Staphylococcus aureus (VRSA) using computer aided protein data analysis,” Gene, vol. 575, no. 1, pp. 132–143, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. R. Uddin and K. Saeed, “Identification and characterization of potential drug targets by subtractive genome analyses of methicillin resistant Staphylococcus aureus,” Computational Biology and Chemistry, vol. 48, pp. 55–63, 2014. View at Publisher · View at Google Scholar · View at Scopus
  16. P. Sperandeo, A. M. Martorana, and A. Polissi, “Lipopolysaccharide biogenesis and transport at the outer membrane of Gram-negative bacteria,” Biochimica et Biophysica Acta - Molecular and Cell Biology of Lipids, 2016. View at Publisher · View at Google Scholar · View at Scopus
  17. H. D. Chen and E. A. Groisman, “The biology of the PmrA/PmrB two-component system: The major regulator of lipopolysaccharide modifications,” Annual Review of Microbiology, vol. 67, pp. 83–112, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Kato and E. A. Groisman, “The PhoQ/PhoP regulatory network of Salmonella enterica,” AdvExp Med Biol, vol. 631, pp. 7–21, 2008. View at Google Scholar
  19. V. Band and D. Weiss, “Mechanisms of Antimicrobial Peptide Resistance in Gram-Negative Bacteria,” Antibiotics, vol. 4, no. 1, pp. 18–41, 2015. View at Publisher · View at Google Scholar
  20. S. Matamouros and S. I. Miller, “S. Typhimurium strategies to resist killing by cationic antimicrobial peptides,” Biochimica et Biophysica Acta - Biomembranes, vol. 1848, no. 11, Article ID 81799, pp. 3021–3025, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. A. S. Ghosh, C. Chowdhury, and D. E. Nelson, “Physiological functions of D-alanine carboxypeptidases in Escherichia coli,” Trends in Microbiology, vol. 16, no. 7, pp. 309–317, 2008. View at Publisher · View at Google Scholar · View at Scopus