Introduction

Although major portion of a prokaryotic genome (70-80%) is of homogenous nucleotide composition, some portion (20-30%) carries segements of DNA having distict nucleotide content known as Genomic Islands (GIs). Pathogenicity Islands (PAIs) are sub set of GIs that are acquired by horizontal gene transfer and contain genes encoding virulence factors like adhesins, toxins, inavsins and others.

PredictBias is an application which assists in the identification of genomic and pathogenicity islands in prokaryotes. It is based on four important features of PAIs:

  • Significant compostion bias (%GC, dincucleotide & codon bias).
  • Presence of Insertion elements (Transposase, Integrase, tRNA).
  • Presence of genes encoding proteins similar to known virulence factors (adhesins, invasin, toxin & others).
  • Absence from same or closely related non-pathogenic sp.

With increase in bacterial resistance to conventional antibiotics, there is an urgent need to identify novel drug targets. PAIs encoding genes vital for bacterial pathogenesis may play a significant role in identifying these drug targets.

Reference:
Pundhir, S., Vijaywargiya, H., and Kumar, A. (2008). PredictBias: a server for the identification of genomic and pathogenicity islands in prokaryotes. In Silico Biol. 8, 0019.
How to use?
  • Search PredictBias: 
    Enter the Organism name or Refeq Id
    corresponding to the query genome in the search box (top). To get complete list of analyzed microbial genome at PredictBias Click here.

  • New Bias analysis:
    If Bias analysis for an organism is not available at PredictBias. Click New analysis and provide the genome file (Genbank format) corresponding to the genome.
What is RefSeq Id?
It is a unique identifier for each entry in NCBI’s RefSeq database. For a list of RefSeq Id of prokaryotic genomes sequenced till now click here.
Acknowledgement
Funding for this work is provided by Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi. This facility is hosted by Bioinformatics sub-Centre, School of Biotechnology, Devi Ahilya University, Indore, MP- INDIA