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      https://www.ias.ac.in/article/fulltext/jbsc/037/03/0433-0444

    • Keywords

       

      DNA; energetics; gene prediction; prokaryotes

    • Abstract

       

      We present here a novel methodology for predicting new genes in prokaryotic genomes on the basis of inherent energetics of DNA. Regions of higher thermodynamic stability were identified, which were filtered based on already known annotations to yield a set of potentially new genes. These were then processed for their compatibility with the stereo-chemical properties of proteins and tripeptide frequencies of proteins in Swissprot data, which results in a reliable set of new genes in a genome. Quite surprisingly, the methodology identifies new genes even in well-annotated genomes. Also, the methodology can handle genomes of any GC-content, size and number of annotated genes.

    • Author Affiliations

       

      Garima Khandelwal1 2 Jalaj Gupta1 2 B Jayaram1 2 3

      1. Department of Chemistry, Indian Institute of Technology, New Delhi 110 016, India
      2. Supercomputing Facility for Bioinformatics and Computational Biology, Indian Institute of Technology, New Delhi 110 016, India
      3. Kusuma School of Biological Sciences Indian Institute of Technology, New Delhi 110 016, India
    • Dates

       
  • Journal of Biosciences | News

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