Philosophiae Doctor - PhD / Given the significant disease burden caused by human coronaviruses, the discovery of an effective antiviral strategy is paramount, however there is still no effective therapy to combat infection. This thesis details the in silica exploration of ligand libraries to identify candidate lead compounds that, based on multiple criteria, have a high probability of inhibiting the 3 chymotrypsin-like protease (3CUro) of human coronaviruses. Atomistic models of the 3CUro were obtained from the Protein Data Bank or theoretical models were successfully generated by homology modelling. These structures served the basis of both structure- and ligand-based drug design studies. Consensus molecular docking and pharmacophore modelling protocols were adapted to explore the ZINC Drugs-Now dataset in a high throughput virtual screening strategy to identify ligands which computationally bound to the active site of the 3CUro . Molecular dynamics was further utilized to confirm the binding mode and interactions observed in the static structure- and ligand-based techniques were correct via analysis of various parameters in a IOns simulation. Molecular docking and pharmacophore models identified a total of 19 ligands which displayed the potential to computationally bind to all 3CUro included in the study. Strategies employed to identify these lead compounds also indicated that a known inhibitor of the SARS-Co V 3CUro also has potential as a broad spectrum lead compound. Further analysis by molecular dynamic simulations largely confirmed the binding mode and ligand orientations identified by the former techniques. The comprehensive approach used in this study improves the probability of identifying experimental actives and represents a cost effective pipeline for the often expensive and time consuming process of lead discovery. These identified lead compounds represent an ideal starting point for assays to confirm in vitro activity, where experimentally confirmed actives will be proceeded to subsequent studies on lead optimization.

Viral proteases play crucial roles in the life cycle and maturation of many viruses by processing the viral polyprotein after translation and in some cases cleaving host proteins associated with the immune response. The essential role of viral proteases makes them attractive therapeutic targets. In this thesis, I provide an introductory summary of viral proteases, their structure, mechanism, and inhibition, while the breadth of this thesis focuses on the Hepatitis C virus (HCV) NS3/4A and Zika virus (ZIKV) NS2B/NS3 viral proteases. HCV NS3/4A protease inhibitors (PIs) have become a mainstay in combination therapies. However, drug resistance remains a major problem against these PIs. In this thesis, I applied insights from the HCV substrate envelope (SE) model to develop strategies for designing PIs that are less susceptible to resistance. Also, I used the HCV NS3/4A protease as a model system to decipher the molecular mechanism and role of fluorination in HCV PIs potency and drug resistance. The drug design strategies described in this thesis have broad applications in drug design. The ZIKV is an emerging global threat, and currently, with no treatment available. In this thesis, I described the discovery, biochemical and antiviral evaluation of novel noncompetitive quinoxaline-based inhibitors of the ZIKV NS2B/NS3 protease. The inhibitors are proposed to interfere with NS2 binding to NS3, thereby preventing the protease from adopting the closed and active conformation. The inhibitors from this work will serve as lead compounds for further inhibitor development toward the goal of developing antivirals.