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Full-Text Articles in Medicine and Health Sciences
Deepcon-Pre: Improved Protein Contact Map Prediction Using Inverse Covariance And Deep Residual Networks, Nachammai Palaniappan
Deepcon-Pre: Improved Protein Contact Map Prediction Using Inverse Covariance And Deep Residual Networks, Nachammai Palaniappan
Theses
As with most domains where machine learning methods are applied, correct feature engineering is critical when developing deep learning algorithms for solving the protein folding problem. Unlike the domains such as computer vision and natural language processing, feature engineering is not rigorously studied towards solving the protein folding problem. A recent research has highlighted that input features known as precision matrix are most informative for predicting inter-residue contact map, the key for building three-dimensional models. In this work, we study the significance of the precision matrix feature when very deep residual networks are trained. Using a standard dataset of 3456 …
Total Salivary Protein Concentration And Its Correlation To Dental Caries, Emyli Peralta
Total Salivary Protein Concentration And Its Correlation To Dental Caries, Emyli Peralta
Honors Undergraduate Theses
Introduction: According to the World Health Organization, dental cavities are the number one chronic disease in children. Saliva coats the teeth all day and can serve many functions to maintain and protect teeth. Saliva has many proteins that can be both detrimental and essential to the preservation of tooth enamel. The purpose of this study is to determine if a correlation exists between the total protein concentration in saliva and the prevalence of cavities in the mouth. We hypothesized that there would be a positive correlation with total salivary protein concentration and the prevalence of cavities in the participant. Methods: …