Date of Award
Spring 2022
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2022.
Degree Name
Master of Science (MS)
Department
Bioengineering
First Advisor
Zhiwen Zhang
Abstract
Facing the danger of Gram-positive bacterial infection, mammalian cells have their defense line. A functional proteomics study aided with Deep Learning indicates the direct interaction between collagen V from mammalian cell membrane and Sortase A which catalyzes the display of virulence factors on the gram positive bacteria. And CHO cell proteomes conducted with the use artificial intelligence via Tensorflow and found that the identified anti collagen V binds to Sortase A of S. aureus and regulates its monomer-homodimer equilibrium, which is responsible for the bacterial cell wall sorting activity. Our results suggest that the collagen V plays an instrumental role in inhibiting Gram-positive bacterial infections and impeding their pathogenicity.
Recommended Citation
Jin, Minqiao (Lisa), "Identification of Messenger Molecule for Immuno-Antibacterial Infection Drug Discovery with the usage of Bio-AI" (2022). Bioengineering Master's Theses. 11.
https://scholarcommons.scu.edu/bioe_mstr/11