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A Computational Characterization of Nanoscale Interactions of Biological Systems
A Computational Characterization of Nanoscale Interactions of Biological Systems
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152056
- ISBN
- 9798382739151
- DDC
- 660
- 저자명
- Luyet, Chloe.
- 서명/저자
- A Computational Characterization of Nanoscale Interactions of Biological Systems
- 발행사항
- [Sl] : University of Michigan, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 127 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
- 주기사항
- Advisor: Violi, Angela.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2024.
- 초록/해제
- 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.
- 일반주제명
- Chemical engineering
- 일반주제명
- Microbiology
- 일반주제명
- Pathology
- 일반주제명
- Nanotechnology
- 키워드
- Pathogenicity
- 기타저자
- University of Michigan Chemical Engineering
- 기본자료저록
- Dissertations Abstracts International. 85-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798382739151
■035 ▼a(MiAaPQ)AAI31348937
■035 ▼a(MiAaPQ)umichrackham005389
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a660
■1001 ▼aLuyet, Chloe.
■24512▼aA Computational Characterization of Nanoscale Interactions of Biological Systems
■260 ▼a[Sl]▼bUniversity of Michigan▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a127 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-12, Section: B.
■500 ▼aAdvisor: Violi, Angela.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2024.
■520 ▼aTreatment 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.
■590 ▼aSchool code: 0127.
■650 4▼aChemical engineering
■650 4▼aMicrobiology
■650 4▼aPathology
■650 4▼aNanotechnology
■653 ▼aFunctional amyloid fibers
■653 ▼aMembrane vibrations
■653 ▼aAnti-biofilm nanoparticles
■653 ▼aPathogenicity
■653 ▼aBiofilm manipulators
■690 ▼a0542
■690 ▼a0410
■690 ▼a0652
■690 ▼a0571
■71020▼aUniversity of Michigan▼bChemical Engineering.
■7730 ▼tDissertations Abstracts International▼g85-12B.
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162802▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
