Development of Machine-learning Based Prediction Models for the Inhibitors of the Steroid Receptor Co-activator (Src)-3

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6466

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DC Field	Value	Language
dc.contributor.author	Sood, Deep Kshitiz	-
dc.contributor.author	Dandona, Menchu	-
dc.contributor.author	Ramana, Jayashree Guided by]	-
dc.date.accessioned	2022-09-23T04:55:34Z	-
dc.date.available	2022-09-23T04:55:34Z	-
dc.date.issued	2017	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/6466	-
dc.description.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	en_US
dc.language.iso	en	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Machine learning	en_US
dc.subject	Padel descriptors	en_US
dc.subject	Command line	en_US
dc.title	Development of Machine-learning Based Prediction Models for the Inhibitors of the Steroid Receptor Co-activator (Src)-3	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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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