Epsilon Archive for Student Projects

Abstract

This thesis proposes a holistic view of extracellular vesicle cargo as a reflection of integrated and dynamically regulated cellular networks in moment of time of operation, as a Multi-Machinery Model of Cellular Communication, conceptualized from a system level perspective of extracellular vesicle cargo formation integrating theoretical analysis of nature of extracellular vesicles with the practical application of bioinformatics, aiming to contribute to the development of an anthelmintic vaccine. By employing Python-based computational methods and leveraging data from the NCBI database on extracellular vesicle contents, this work facilitates peptide and epitope structural candidate analysis to further vaccine design.