Literature DB >> 16789912

In silico identification of potential therapeutic targets in the human pathogen Helicobacter pylori.

Anirban Dutta1, Shashi Kr Singh, Payel Ghosh, Runni Mukherjee, Sayak Mitter, Debashis Bandyopadhyay.   

Abstract

Availability of genome sequences of pathogens has provided a tremendous amount of information that can be useful in drug target and vaccine target identification. One of the recently adopted strategies is based on a subtractive genomics approach, in which the subtraction dataset between the host and pathogen genome provides information for a set of genes that are likely to be essential to the pathogen but absent in the host. This approach has been used successfully in recent times to identify essential genes in Pseudomonas aeruginosa. We have used the same methodology to analyse the whole genome sequence of the human gastric pathogen Helicobacter pylori. Our analysis revealed that out of the 1590 coding sequences of the pathogen, 40 represent essential genes that have no human homolog. We have further analysed these 40 genes by the protein sequence databases to list some 10 genes whose products are possibly exposed on the pathogen surface. This preliminary work reported here identifies a small subset of the Helicobacter proteome that might be investigated further for identifying potential drug and vaccine targets in this pathogen.

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Year:  2006        PMID: 16789912

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  33 in total

1.  In silico quest for putative drug targets in Helicobacter pylori HPAG1: molecular modeling of candidate enzymes from lipopolysaccharide biosynthesis pathway.

Authors:  Munmun Sarkar; Lakshmi Maganti; Nanda Ghoshal; Chitra Dutta
Journal:  J Mol Model       Date:  2011-08-18       Impact factor: 1.810

2.  In silico identification of common putative drug targets in Leptospira interrogans.

Authors:  U Amineni; D Pradhan; H Marisetty
Journal:  J Chem Biol       Date:  2010-05-14

3.  Complexomics study of two Helicobacter pylori strains of two pathological origins: potential targets for vaccine development and new insight in bacteria metabolism.

Authors:  Cédric Bernarde; Philippe Lehours; Jean-Paul Lasserre; Michel Castroviejo; Marc Bonneu; Francis Mégraud; Armelle Ménard
Journal:  Mol Cell Proteomics       Date:  2010-07-07       Impact factor: 5.911

4.  Evolutionary conservation of essential and highly expressed genes in Pseudomonas aeruginosa.

Authors:  Andreas Dötsch; Frank Klawonn; Michael Jarek; Maren Scharfe; Helmut Blöcker; Susanne Häussler
Journal:  BMC Genomics       Date:  2010-04-09       Impact factor: 3.969

5.  Identification and modeling of a drug target for Clostridium perfringens SM101.

Authors:  Gagan Chhabra; Pramila Sharma; Avishek Anant; Sachin Deshmukh; Himani Kaushik; Keshav Gopal; Nutan Srivastava; Neeraj Sharma; Lalit C Garg
Journal:  Bioinformation       Date:  2010-01-17

6.  A novel in silico approach to identify potential therapeutic targets in human bacterial pathogens.

Authors:  Umashankar Vetrivel; Gurunathan Subramanian; Sudarsanam Dorairaj
Journal:  Hugo J       Date:  2011-04-08

7.  Identification of membrane associated drug targets in Borrelia burgdorferi ZS7- subtractive genomics approach.

Authors:  Shivkumar Madagi; Vijayakumari Mali Patil; Saremy Sadegh; Abhishek Kumar Singh; Bhavana Garwal; Atreyi Banerjee; Usha Talambedu; Biplab Bhattacharjee
Journal:  Bioinformation       Date:  2011-07-19

8.  A novel strategy of epitope design in Neisseria gonorrhoeae.

Authors:  Debmalya Barh; Amarendra Narayan Misra; Anil Kumar; Azevedo Vasco
Journal:  Bioinformation       Date:  2010-07-06

9.  Genomic Target Database (GTD): a database of potential targets in human pathogenic bacteria.

Authors:  Debmalya Barh; Anil Kumar; Amarendra Narayana Misra
Journal:  Bioinformation       Date:  2009-08-17

10.  Identification and characterization of potential therapeutic candidates in emerging human pathogen Mycobacterium abscessus: a novel hierarchical in silico approach.

Authors:  Buvaneswari Shanmugham; Archana Pan
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

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