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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 |
Files in This Item:
File | Description | Size | Format | |
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Development of Machine Learning Based Prediction Models for the Inhibitors of the Steroid Receptor Co Activator SRC 3.pdf | 1.07 MB | Adobe PDF | View/Open |
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