While vaccines help prevent infection from SARS-CoV-2, therapeutic drugs remain necessary to treat people who are already infected. In my research, I am developing peptide-based therapeutics. These therapeutics are safe and readily bioavailable due to their low immunogenic response and low production cost. I design peptide inhibitors against the Mpro enzyme, the main protease present in SARS-CoV-2. Mpro normally cleaves the virus’ pp1a and pp1ab viral polyproteins, which are then activated and assist with viral replication and transcription. By creating a competitive inhibitor that binds to Mpro, I can prevent it from activating the pp1a and pp1ab proteins and thereby prevent viral proliferation. The project began with computational design of peptide inhibitors on the Rosetta Macromolecular Modeling suite, a computational platform that provides accurate structure prediction and design of peptides. An effective drug not only finds the active site of Mpro, but is able to bind more strongly to it than the natural substrate. Mpro’s active site is hydrophobic, so my mentor designed the stub, the part of the peptide that fits within the active site, to include three hydrophobic amino acids: alanine, valine, and leucine. From there, she followed Rosetta's Generalized Kinematic Closure Algorithm to develop various cyclic peptides. After filtering these peptides on Rosetta based on shape and chemical complementarity, she proceeded with 50 peptides. Afterwards, I chemically synthesized and purified some of these peptides with High-Performance Liquid Chromatography. I tested their effectiveness in mass spectrometry-based inhibition assays and determined that the gzm_1,2 peptide has an IC50 value (the concentration of peptide required to inhibit 50 percent of Mpro) of 12.68 µM. Through refining the structure of gzm_1,2, I can improve its inhibitory effectiveness and membrane permeability, enabling it to serve as the basis of an effective and affordable medication for people infected with SARS-CoV-2.