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

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 o...

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Autores principales: Nammi, Deepthi, Yarla, Nagendra S., Chubarev, Vladimir N., Tarasov, Vadim V., Barreto, George E., Pasupulati, Amita Martin Corolina, Aliev, Gjumrakch, Neelapu, Nageswara Rao Reddy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635650/
https://www.ncbi.nlm.nih.gov/pubmed/29081700
http://dx.doi.org/10.2174/1389202918666170705160615
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author Nammi, Deepthi
Yarla, Nagendra S.
Chubarev, Vladimir N.
Tarasov, Vadim V.
Barreto, George E.
Pasupulati, Amita Martin Corolina
Aliev, Gjumrakch
Neelapu, Nageswara Rao Reddy
author_facet Nammi, Deepthi
Yarla, Nagendra S.
Chubarev, Vladimir N.
Tarasov, Vadim V.
Barreto, George E.
Pasupulati, Amita Martin Corolina
Aliev, Gjumrakch
Neelapu, Nageswara Rao Reddy
author_sort Nammi, Deepthi
collection PubMed
description 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. Protein-protein 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.
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spelling pubmed-56356502018-04-01 A Systematic In-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates Nammi, Deepthi Yarla, Nagendra S. Chubarev, Vladimir N. Tarasov, Vadim V. Barreto, George E. Pasupulati, Amita Martin Corolina Aliev, Gjumrakch Neelapu, Nageswara Rao Reddy Curr Genomics Article 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. Protein-protein 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. Bentham Science Publishers 2017-10 2017-10 /pmc/articles/PMC5635650/ /pubmed/29081700 http://dx.doi.org/10.2174/1389202918666170705160615 Text en © 2017 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Nammi, Deepthi
Yarla, Nagendra S.
Chubarev, Vladimir N.
Tarasov, Vadim V.
Barreto, George E.
Pasupulati, Amita Martin Corolina
Aliev, Gjumrakch
Neelapu, Nageswara Rao Reddy
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
title_full A Systematic In-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates
title_fullStr A Systematic In-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates
title_full_unstemmed A Systematic In-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates
title_short A Systematic In-silico Analysis of Helicobacter pylori Pathogenic Islands for Identification of Novel Drug Target Candidates
title_sort systematic in-silico analysis of helicobacter pylori pathogenic islands for identification of novel drug target candidates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635650/
https://www.ncbi.nlm.nih.gov/pubmed/29081700
http://dx.doi.org/10.2174/1389202918666170705160615
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