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A Computational Characterization of Nanoscale Interactions of Biological Systems.
A Computational Characterization of Nanoscale Interactions of Biological Systems.
Contents Info
A Computational Characterization of Nanoscale Interactions of Biological Systems.
Material Type  
 학위논문
 
0017162802
Date and Time of Latest Transaction  
20250211152056
ISBN  
9798382739151
DDC  
660
Author  
Luyet, Chloe.
Title/Author  
A Computational Characterization of Nanoscale Interactions of Biological Systems.
Publish Info  
[S.l.] : University of Michigan., 2024
Publish Info  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Material Info  
127 p.
General Note  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
General Note  
Advisor: Violi, Angela.
학위논문주기  
Thesis (Ph.D.)--University of Michigan, 2024.
Abstracts/Etc  
요약Treatment of biofilm infections is difficult, in part, due to the bacteria's pathogenicity and, in part, due to biofilm's structural resilience. Not only does a drug have to traverse the extracellular matrix, but it also has to cross membranes to be delivered to the bacterial cell. Each pathway presents a unique set of challenges. In the extracellular matrix, drugs are inhibited by networks of functional amyloid fibers, among other things. At the cellular level, drug permeation has been linked to cell membrane vibrations, which inherently depend on the composition of the membrane. Nanoparticles are a promising route for controlling biofilm growth and preventing resistance because they offer a myriad of sizes, shapes, and functional groups. In this thesis, I use molecular dynamics simulations and novel analysis methods to computationally explore the nanoscale interactions of (1) proteins, (2) membranes, and (3) nanoparticles. I characterize the structure of staphylococcal PSMα1 amyloid nanofibers, identify membrane vibrations from both eukaryotic and prokaryotic organisms, and propose interactions of chiral carbon nanoparticles with teicoplanin and phenol-soluble modulins that could be responsible for their separation by high-performance liquid chromatography and anti-biofilm capabilities, respectively. The efforts of this research have increased our understanding of nanofibers through the development of in-silico models with atomistic resolution and have helped us to screen for potential nanoparticulate candidates that could serve as biofilm manipulators.
Subject Added Entry-Topical Term  
Chemical engineering.
Subject Added Entry-Topical Term  
Microbiology.
Subject Added Entry-Topical Term  
Pathology.
Subject Added Entry-Topical Term  
Nanotechnology.
Index Term-Uncontrolled  
Functional amyloid fibers
Index Term-Uncontrolled  
Membrane vibrations
Index Term-Uncontrolled  
Anti-biofilm nanoparticles
Index Term-Uncontrolled  
Pathogenicity
Index Term-Uncontrolled  
Biofilm manipulators
Added Entry-Corporate Name  
University of Michigan Chemical Engineering
Host Item Entry  
Dissertations Abstracts International. 85-12B.
Electronic Location and Access  
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Control Number  
joongbu:653914
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