Prediction of Secondary Structures of Human Prion Proteins using Miscellaneous Methods
DOI:
https://doi.org/10.51983/ajcst-2019.8.1.2121Keywords:
Protein Structure Prediction, PSIPRED, Phyre2, BLAST, PSIBLASTAbstract
The contemporary study is an attempt to predict the secondary structures of proteins, from the dataset of human prion proteins which has been acquired from NCBI repository. In this context, we have exploited PSIPRED server which is considered to be proficient and impulsive method to protein structure prediction where users can submit the query sequence of their desire and receive the results of prediction both textually and eloquently. Furthermore, Phyre2 was applied across the amino acid sequence which is among the most widely server deployed for generating consistent protein models characterizing the prediction of protein structures. Moreover, two feed forward neural networks with a sole hidden layer which was tested and trained on a 10 fold cross validation mechanism in MATLAB, and subsequently significant prediction accuracy of 71.73% and minimum mean absolute error of 12.3% was achieved.
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