Journal of Computational Intelligence in Bioinformatics
  • Year: 2008
  • Volume: 1
  • Issue: 2and3

In-silico prediction of the essentiality of Osmoprotectant Genes of Pseudomonas aeruginosa

  • Author:
  • Pramod Katara, Vinay Sharma
  • Total Page Count: 6
  • Page Number: 141 to 146

Department of Biosciences and Biotechnology, Banasthali University, Banasthali, India.

Abstract

Genes that are very essential for any organism share similarities with the essential genes of other organisms because most of the basic protein requirements remain same for different organisms and essential genes are conserved more than the non essential counterparts in bacteria and other organism. The present study compares gene expression information with the sequence pattern. Genes that show considerable over and under-expression under osmotic stress and provide strength and suitable proteome to Pseudomonas aeruginosa to survive in such stress conditions are compared with the database of essential genes to observe their essentiality and also treated with MEME to analyze regulatory motif in their upstream region. It was found that 70% of genes which show expression deviation under osmotic stress are essential and most of them are shared by Mycobacterium tuberculosis. Finding of regulatory motif shows that no motif was shared by all of the genes and the length of motif is vary very considerably.

Keywords

co-regulation, gene-expression, drug target, essential genes, Drug target, Information content