Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6466
Title: Development of Machine-learning Based Prediction Models for the Inhibitors of the Steroid Receptor Co-activator (Src)-3
Authors: Sood, Deep Kshitiz
Dandona, Menchu
Ramana, Jayashree Guided by]
Keywords: Machine learning
Padel descriptors
Command line
Issue Date: 2017
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: This report primarily consists of literature findings and stipulated course of action for the SCR-1 gene. It is also known as N.CO.A-3 is a protein in humans that is encoded by the N.CO.A-3gene.The NRC one (NCOA one), a transcriptional co restrictive macromolecule that contains many nuclear receptor networking domains and an intrinsic histone simple acetyltransferase activity. We simulated various models in Weka by manipulating c and gamma values. The best accuracy achieved till now is 66.8%. We have also tried to address the objective in context to our understanding of general programming paradigms and different tools of Bioinformatics. Moreover, this r
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6466
Appears in Collections:B.Tech. Project Reports



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