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NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool
Article asserts that the nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. The authors developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequence-based features used by existing NR prediction tools, six additional feature groups depicting various physiochemical, structural, and evolutionary features of proteins were utilized.
Date:
May 30, 2023
Creator:
Madugula, Sita Sirisha; Pandey, Suman; Amalapurapu, Shreya & Bozdag, Serdar
System:
The UNT Digital Library
Investigation of a Consumer’s Purchase Intentions and Behaviors towards Environmentally Friendly Grocery Packaging
Article asserts that plastic packaging dominates the US grocery industry, which raises the question of whether consumers are purchasing food that is not wrapped in conventional plastic but environmentally friendly packaging. Through their study, the authors hope that their findings provide marketers with fresh insights into the characteristics of consumers willing to purchase grocery items packaged in environmentally friendly materials.
Date:
May 30, 2023
Creator:
Oliver, Mikah O.; Jestratijevic, Iva; Uanhoro, James & Knight, Dee K.
System:
The UNT Digital Library