A Bioinformatics approach to designing a Zika virus vaccine

Sumanta Dey, Ashesh Nandy, Subhash C. Basak, Papiya Nandy, Sukhen Das

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The Zika virus infections have reached epidemic proportions in the Latin American countries causing severe birth defects and neurological disorders. While several organizations have begun research into design of prophylactic vaccines and therapeutic drugs, computer assisted methods with adequate data resources can be expected to assist in these measures to reduce lead times through bioinformatics approaches. Using 60 sequences of the Zika virus envelope protein available in the GenBank database, our analysis with numerical characterization techniques and several web based bioinformatics servers identified four peptide stretches on the Zika virus envelope protein that are well conserved and surface exposed and are predicted to have reasonable epitope binding efficiency. These peptides can be expected to form the basis for a nascent peptide vaccine which, enhanced by incorporation of suitable adjuvants, can elicit immune response against the Zika virus infections.

Original languageEnglish (US)
Pages (from-to)143-152
Number of pages10
JournalComputational Biology and Chemistry
Volume68
DOIs
StatePublished - Jun 1 2017

Keywords

  • 2D graphical representation
  • Alignment-free models
  • Epitope regions
  • Zika vaccine
  • Zika virus

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