Browsing by Author "FAHAD SALEEM"

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    Predicting of nuclear receptor proteins and their subfamilies using sequence features with chous general pseaac
    (UMT.Lahore, 2019) FAHAD SALEEM
    Nuclear Receptor correspond with an enormous family that contain the transcription factors with ligand-inducible which standardize the gene formulation that exists in cell death and growth, several physiological development, like in homeostasis and embryogenesis. And it’s be appropriate to the superfamily of phylogenetically related proteins and perform the subdivision of proteins into subfamilies due to their domain multiplicity. In this paper automated prediction is performed through computational model based techniques that is most helpful in prediction of Nuclear Receptor Proteins. In this a Nuclear Receptor prediction framework is proposed that based on statistical moments and computational intelligence. In this the new dataset of same classes of Nuclear Receptor subfamilies from UniProt KB is combined with the old used dataset. In this paper we use the multilayer neural network with the statistical moments, and perform training with the help of prediction techniques that based on the back-propagation to get the more accurate and comprehensive output.