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Application of the Subtractive Genomics and Molecular Docking Analysis for the Identification of Novel Putative Drug Targets against Salmonella enterica subsp. enterica serovar Poona
Joint Authors
Nabi, A. H. M. Nurun
Hosen, Md. Ismail
Hossain, Tanvir
Kamruzzaman, Mohammad
Choudhury, Talita Zahin
Mahmood, Hamida Nooreen
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The emergence of novel pathogenic strains with increased antibacterial resistance patterns poses a significant threat to the management of infectious diseases.
In this study, we aimed at utilizing the subtractive genomic approach to identify novel drug targets against Salmonella enterica subsp.
enterica serovar Poona strain ATCC BAA-1673.
We employed in silico bioinformatics tools to subtract the strain-specific paralogous and host-specific homologous sequences from the bacterial proteome.
The sorted proteome was further refined to identify the essential genes in the pathogenic bacterium using the database of essential genes (DEG).
We carried out metabolic pathway and subcellular location analysis of the essential proteins of the pathogen to elucidate the involvement of these proteins in important cellular processes.
We found 52 unique essential proteins in the target proteome that could be utilized as novel targets to design newer drugs.
Further, we investigated these proteins in the DrugBank databases and 11 of the unique essential proteins showed druggability according to the FDA approved drug bank databases with diverse broad-spectrum property.
Molecular docking analyses of the novel druggable targets with the drugs were carried out by AutoDock Vina option based on scoring functions.
The results showed promising candidates for novel drugs against Salmonella infections.
American Psychological Association (APA)
Hossain, Tanvir& Kamruzzaman, Mohammad& Choudhury, Talita Zahin& Mahmood, Hamida Nooreen& Nabi, A. H. M. Nurun& Hosen, Md. Ismail. 2017. Application of the Subtractive Genomics and Molecular Docking Analysis for the Identification of Novel Putative Drug Targets against Salmonella enterica subsp. enterica serovar Poona. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1136388
Modern Language Association (MLA)
Hossain, Tanvir…[et al.]. Application of the Subtractive Genomics and Molecular Docking Analysis for the Identification of Novel Putative Drug Targets against Salmonella enterica subsp. enterica serovar Poona. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1136388
American Medical Association (AMA)
Hossain, Tanvir& Kamruzzaman, Mohammad& Choudhury, Talita Zahin& Mahmood, Hamida Nooreen& Nabi, A. H. M. Nurun& Hosen, Md. Ismail. Application of the Subtractive Genomics and Molecular Docking Analysis for the Identification of Novel Putative Drug Targets against Salmonella enterica subsp. enterica serovar Poona. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1136388
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136388