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Characterizing the Zika Virus Genome - A Bioinformatics Study.

Ashesh Nandy1, Sumanta Dey, Subhash C Basak

  • 1Centre for Interdisciplinary Research and Education, 404B Jodhpur Park, Kolkata 700068, India. anandy43@yahoo.com.

Current Computer-Aided Drug Design
|April 2, 2016
PubMed
Summary

Bioinformatics analysis reveals distinct African and Asian-American Zika virus clades with conserved 5' coding regions. This characterization aids in surveillance and the development of Zika virus drugs and vaccines.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Virology

Background:

  • Zika virus epidemic raises global health concerns.
  • Limited comprehensive data available for this emerging infectious disease.

Purpose of the Study:

  • To characterize Zika virus through bioinformatics analysis of genomic sequences.
  • Investigate genetic diversity and properties of Zika virus strains.

Main Methods:

  • Utilized 2D graphical representation for visual rendering of genomic sequences.
  • Employed phylogenetic analysis, transition-transversion ratios, and codon usage bias analysis.
  • Computed biological properties including amino acid usage and hydropathy index.

Main Results:

  • Identified two distinct clades: African and Asian-American Zika virus genomes.
  • Observed strong conservation in 5'-end coding regions for structural proteins.
  • Transition rates were significantly higher (10-15x) than transversion rates, similar to dengue virus.

Conclusions:

  • Findings support computer-assisted surveillance of emerging Zika virus strains.
  • Provides crucial data for designing effective Zika virus drugs and vaccines.
  • Characterization aids in understanding and combating Zika virus spread.