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Full-Text Articles in Physical Sciences and Mathematics
Computational Methods For Prediction And Classification Of G Protein-Coupled Receptors, Khodeza Begum
Computational Methods For Prediction And Classification Of G Protein-Coupled Receptors, Khodeza Begum
Open Access Theses & Dissertations
G protein-coupled receptors (GPCRs) constitute the largest group of membrane receptor proteins in eukaryotes. Due to their significant roles in many physiological processes such as vision, smell, and inflammation, GPCRs are the targets of many prescribed drugs. However, the functional and structural diversity of GPCRs has kept their prediction and classification based on amino acid sequence data as a challenging bioinformatics problem. As existing computational methods to predict and classify GPCRs are focused on mammalian (mostly human) data, the ultimate goal of our project is to establish an ensemble approach and implement a web-based software that can be used reliably …
Label-Free Raman Imaging To Monitor Breast Tumor Signatures, John Ciubuc
Label-Free Raman Imaging To Monitor Breast Tumor Signatures, John Ciubuc
Open Access Theses & Dissertations
Methods built on Raman spectroscopy have shown major potential in describing and discriminating between malignant and benign specimens. Accurate, real-time medical diagnosis benefits in substantial improvements through this vibrational optical method. Not only is acquisition of data possible in milliseconds and analysis in minutes, Raman allows concurrent detection and monitoring of all biological components. Besides validating a significant Raman signature distinction between non-tumorigenic (MCF-10A) and tumorigenic (MCF-7) breast epithelial cells, this study reveals a label-free method to assess overexpression of epidermal growth factor receptors (EGFR) in tumor cells. EGFR overexpression sires Raman features associated with phosphorylated threonine and serine, and …