A Systematic in-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates

Title:A Systematic in-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates

Volume: 18 Issue: 5

Author(s): Deepthi Nammi, Nagendra S. Yarla, Vladimir N. Chubarev , Vadim V. Tarasov, George E. Barreto, Amita Martin Corolina Pasupulati , Gjumrakch Aliev and Nageswara Rao Reddy Neelapu*

Affiliation:

• Department of Biochemistry and Bioinformatics, GITAM Institute of Science, GITAM University, Rushikonda, Visakhapatnam – 534005 (AP),India

Keywords: Pathogenicity, Genomic islands, Virulence factors, Comparative analysis.

Abstract: Background: Helicobacter pylori is associated with inflammation of different areas, such as the duodenum and stomach, causing gastritis and gastric ulcers leading to lymphoma and cancer. Pathogenic islands are a type of clustered mobile elements ranging from 10-200 Kb contributing to the virulence of the respective pathogen coding for one or more virulence factors. Virulence factors are molecules expressed and secreted by pathogen and are responsible for causing disease in the host. Bacterial genes/virulence factors of the pathogenic islands represent a promising source for identifying novel drug targets.

Objective: The study aimed at identifying novel drug targets from pathogenic islands in H. pylori.

Material & Methods: The genome of 23 H. pylori strains were screened for pathogenic islands and bacterial genes/virulence factors to identify drug targets. Protein-protein interactions of drug targets were predicted for identifying interacting partners. Further, host-pathogen interactions of interacting partners were predicted to identify important molecules which are closely associated with gastric cancer.

Results: Screening the genome of 23 H. pylori strains revealed 642 bacterial genes/virulence factors in 31 pathogenic islands. Further analysis identified 101 genes which were non-homologous to human and essential for the survival of the pathogen, among them 31 are potential drug targets. Proteinprotein interactions for 31 drug targets predicted 609 interacting partners. Predicted interacting partners were further subjected to host-pathogen interactions leading to identification of important molecules like TNF receptor associated factor 6, (TRAF6) and MAPKKK7 which are closely associated with gastric cancer.

Conclusion: These provocative studies enabled us to identify important molecules in H. pylori and their counter interacting molecules in the host leading to gastric cancer and also a pool of novel drug targets for therapeutic intervention of gastric cancer.

Cite this article as:

Nammi Deepthi , Yarla S. Nagendra , Chubarev N. Vladimir , Tarasov V. Vadim , Barreto E. George , Corolina Pasupulati Martin Amita , Aliev Gjumrakch and Reddy Neelapu Rao Nageswara *, A Systematic in-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates, Current Genomics 2017; 18 (5) . https://dx.doi.org/10.2174/1389202918666170705160615

DOI https://dx.doi.org/10.2174/1389202918666170705160615	Print ISSN 1389-2029
Publisher Name Bentham Science Publisher	Online ISSN 1875-5488