Coding and functional defect region prediction of placental protein in an embryo cell of first trimester using ANN approach

  • Authors

    • Bipin Nair B J
    • Rahul Reghunath
    2018-03-01
    https://doi.org/10.14419/ijet.v7i1.9.9756
  • Promoter Prediction, ANN, Placenta, DNA, Box Plot

  • Abstract

    The protein coding and functional regions in DNA sequences has become an exciting task in bioinformatics. In particular, the coding region has a 3-base periodicity, which helps for exon identification. Many signal processing tools and techniques have been successfully applied to identify tasks, but still need to be improved in this direction. In our work, we employ ANN classifier to predict coding and functional region of proteinin human embryo cell protein in first trimester, and evaluate their performances according to the comparison energy levels of coding region. The obtained from the threshold energy level, results show that in a box plot finally predict the mutation.

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  • How to Cite

    Nair B J, B., & Reghunath, R. (2018). Coding and functional defect region prediction of placental protein in an embryo cell of first trimester using ANN approach. International Journal of Engineering & Technology, 7(1.9), 167-170. https://doi.org/10.14419/ijet.v7i1.9.9756

    Received date: 2018-02-26

    Accepted date: 2018-02-26

    Published date: 2018-03-01