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A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba, Thomas Alexander Oct 2021

A Network-Based Approach For Computational Drug Repurposing On Cancer Data, Ann Reba, Thomas Alexander

Electronic Theses and Dissertations

In this thesis, we are interested in finding the best drugs that can be repurposed for the disease and able to find the adverse effects such drugs that are FDA-Approved. Developing an effective drug can be a time-consuming and expensive crucible method. Network-based machine learning methods are used for predicting a given drug for A that can be used for B. It aims at finding new indications for already existing drugs and therefore increases the available therapeutic choices at a fraction of the cost of new drug development. The perturbation gene expression data corresponding to the MCF7 cell line was …


Analysis Of Metabolites And Therapeutics For Toxic Inhaled Agent Exposure, Abigail Bemah Donkor Jan 2021

Analysis Of Metabolites And Therapeutics For Toxic Inhaled Agent Exposure, Abigail Bemah Donkor

Electronic Theses and Dissertations

The inhalation of toxic inhaled agents (TIAs) such as methyl isocyanate and cyanide can compromise an individual’s general health due to their extremely toxic nature. Nonetheless, these gases are used extensively in the electronics, chemical, welding, electroplating industries, etc., increasing the risk of exposure to both civilians and industrial workers. It is therefore very crucial to develop analytical methods for TIA metabolites and therapeutic agents. Methyl isocyanate (MIC), an intermediate in the synthesis of carbamate pesticides is a toxic industrial chemical that causes irritation and damage to the eyes, respiratory tracts, and skin. Due to its reactivity with proteins, protein …