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In-Silico Identification of New Genes in Hiv-1 by ORF Prediction Method

Author Affiliations

  • 1Department of Bioinformatics, UCST, Dehradun, INDIA
  • 2Forest Pathology Division, FRI, Dehradun, INDIA
  • 3Department of Biotechnology, DDU Gorakhpur University, Gorakhpur, INDIA

Int. Res. J. Biological Sci., Volume 1, Issue (7), Pages 52-54, November,10 (2012)

Abstract

In the present study the complete genome sequence of Human Immunodeficiency Virus-1 was searched and retrieved from Genbank database with accession number NC_001802.1. The sequence of HIV-1 applied for gene Identification by ORFs prediction method. ORF Finder revealed that total 39 ORFs were identified in all six possible reading frames (RF). Three ORFs were identified in +1 RF, four in +2RF, six in +3RF, six in -1RF, thirteen in -2RF, and seven in -3RF. The translated sequences of all identified ORFs were searched in NCBI nonredundant database using Protein BLAST. All ORFs found in +1, +2, +3RF, and ORF in -1RF, ORF10 in -2RF, ORF2 and ORF in -3RF were already identified by previous workers but the remaining ORFs in -1,-2, and -3 RFs, eleven different ORFs translations showed similarity with different protein sequences of different organisms in nonredundant protein sequence database.

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