Semester of Graduation
Spring 2026
Degree Type
Thesis
Degree Name
Master of Science
Department
Department of Chemistry and Biochemistry
Committee Chair/First Advisor
Mohammad Halim
Second Advisor
Wei Zhou
Third Advisor
Madalynn Marshall
Abstract
Parkinson’s disease is a progressive neurodegenerative disorder affecting about 6.9 million adults over 65, with projections reaching 14.2 million by 2040, marked by the pathological aggregation of an intrinsically disordered protein α-synuclein. Currently, therapies exist to improve symptoms but do not slow or halt disease progression. Peptide-based therapeutics offer a promising alternative, particularly as inhibitors of α-synuclein aggregation—due to their high selectivity, better tolerability, and reduced adverse effects. This study aimed to design, synthesize, and evaluate peptides with inhibitory potential. Several peptides were initially screened using computational tools to predict binding interactions with α-synuclein. Top five candidates with favorable docking scores were synthesized via SPPS and characterized by LC-MS. Binding affinities were quantified using Selected Ion Monitoring Assay (SIM-LCMS), which confirmed strong peptide–protein interactions. Three peptides showed nanomolar affinity with dissociation constants (Kd) of 22.98, 51.79 and 160.4 nM. Structurally modified analogues were also evaluated, where α-methylated peptide exhibited the strongest binding (Kd = 21.49 nM). Inhibition of α-synuclein fibrillation was assessed using thioflavin T (ThT) fluorescence assay. After four days of incubation, the α-methylated peptide achieved the highest inhibition, reducing fibril formation to 89.2% compared to 80.3%, 66.6%, and 41.1% for other candidates respectively. These results validate computational predictions and highlight methylation-enhanced peptide drug discovery against α-synuclein aggregation. The combined SIM-LCMS and ThT assay results provide proof-of-concept that peptide inhibitors can modulate α-synuclein fibril formation with nanomolar affinity. Future work will focus on improving stability and activity through structural modifications such as cyclization and targeted methylation.
Included in
Analytical Chemistry Commons, Biochemistry Commons, Computational Chemistry Commons, Medicinal-Pharmaceutical Chemistry Commons