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Coding and Functional Defect Region Prediction of Placental Protein in an Embryo Cell of First trimester using ANN Approach

Publication Type : Journal Article

Publisher : Science Publishing Corporation Inc

Source : Science Publishing Corporation Inc, Volume 7, Issue 1, p.167 - 170 (2018)

Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042770487&doi=10.14419%2fijet.v7i1.9.9756&partnerID=40&md5=ea87e71b2aaa0f1c887367deb0aca8c4

Keywords : ANN, Box Plot, DNA, Placenta, Promoter Prediction

Campus : Mysuru

School : School of Arts and Sciences

Department : Computer Science

Year : 2018

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 protein in 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. © 2018 Bipin Nair B J, Rahul Reghunath.

Cite this Research Publication : Bipin Nair B. J. and Rahul Reghunath, “Coding and functional defect region prediction of placental protein in an embryo cell of first trimester using ANN approach”, vol. 7, no. 1, pp. 167 - 170, 2018.

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