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Full-Text Articles in Medicine and Health Sciences

Computer-Aided Drug Discovery For Helicobacter Pylori, Nicole Ann Vita Dec 2022

Computer-Aided Drug Discovery For Helicobacter Pylori, Nicole Ann Vita

Theses and Dissertations (ETD)

Helicobacter pylori is a high-priority drug-resistant pathogen and is currently the only bacteria considered to be a class I carcinogen and there is a critical need to identify novel chemical matter to treat H. pylori infections. Hp is responsible for greater than 60% of gastric cancer related deaths and 89% of all gastric cancer morbidities. In a previous study, our lab identified novel Hp thienopyrmidine inhibitors that target respiratory complex I, an essential enzyme in respiration. Respiratory complex I is a large asymmetric multidomain and membrane bound enzyme and due to these innate features, it is not practical for biophysical …


Discovery Of Ojt010 As A Novel Inhibitor Of Severe Acute Respiratory Syndrome Coronavirus 2, Manvir Kaur May 2022

Discovery Of Ojt010 As A Novel Inhibitor Of Severe Acute Respiratory Syndrome Coronavirus 2, Manvir Kaur

Dissertations (2016-Present)

The current pandemic of coronavirus disease (COVID-19) caused by the highly infectious pathogen, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), represents a global public health challenge. The emergence of deadly SARS-CoV-2 variants with mutations on the viral genes has made it more imperative to discover therapeutics that target the host receptors for COVID-19 treatment. Therefore, our research has targeted the critical host entry receptors: Angiotensin-converting enzyme-2 (ACE2) for SARS-CoV-2 entry into the human cells. SARS-CoV-2 is an enveloped RNA beta coronavirus that infects human cells via interaction with the ACE2 receptor, followed by viral replication and virus dissemination. Spike protein …


Structure-Based Drug Discovery And Development Of Protein Structure Prediction Tools Using An Empirical Force Field, Noah B. Herrington Jan 2022

Structure-Based Drug Discovery And Development Of Protein Structure Prediction Tools Using An Empirical Force Field, Noah B. Herrington

Theses and Dissertations

Traditional drug discovery has rapidly accelerated thanks to development of computational molecular modeling. The crucial component that these computational studies hinge upon is having a well-defined, and energetically favorable structure. Structures of proteins and ligands that meet these criteria are important for accurately simulating models used to study drug binding. To demonstrate the role of accurate structure simulation in the study of these events, this thesis presents, first, a story examining the problem of accurate structure modeling of ionizable residues within protein structures, specifically aspartic acid, glutamic acid, and histidine. I present our method, which uses the HINT force field …