서브메뉴
검색
Development of Power Law Kinetic Models of Human Coagulopathies and E. coli Cell-Free Transcription
Development of Power Law Kinetic Models of Human Coagulopathies and E. coli Cell-Free Transcription
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152138
- ISBN
- 9798384051442
- DDC
- 660
- 저자명
- Vadhin, Sandra.
- 서명/저자
- Development of Power Law Kinetic Models of Human Coagulopathies and E. coli Cell-Free Transcription
- 발행사항
- [Sl] : Cornell University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 206 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Advisor: Varner, Jeffrey.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2024.
- 초록/해제
- 요약Mathematical modeling is a tool that enables the investigation of phenomena that may be hard to measure or emulate experimentally. Traditional biochemical network modeling approaches are often complex and nonlinear and require the estimation of a large number of unknown parameters. The power-law formalism - or biochemical systems theory (BST) - which is based on generic model descriptions and yields reduced systems of non-linear ordinary differential equations, has become an area of interest since it was proposed in the 1960s by Savageau. The development of accurate lower-order models of biochemical kinetics would potentially streamline the modeling process in many applications. Toward this goal, we developed dynamic power-law models in two overarching topics: coagulopathies and cell-free systems. In this work, our models describe coagulatory and fibrinolytic pathways in pregnant patients, quantifying hypercoagulability at various stages of pregnancy. We then developed models of coagulation in hemophilia patients and were able to predict clotting dynamics. Finally, we developed a model of sequence-specific gene transcription in a cell-free system and successfully captured mRNA dynamics. Taken together, we have developed lower-order models that could be used in clinical, academic, and industrial applications.
- 일반주제명
- Chemical engineering
- 일반주제명
- Biochemistry
- 일반주제명
- Bioinformatics
- 키워드
- Cell-free system
- 기타저자
- Cornell University Chemical Engineering
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017163125
■00520250211152138
■006m o d
■007cr#unu||||||||
■020 ▼a9798384051442
■035 ▼a(MiAaPQ)AAI31484452
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a660
■1001 ▼aVadhin, Sandra.▼0(orcid)0000-0002-6200-9647
■24510▼aDevelopment of Power Law Kinetic Models of Human Coagulopathies and E. coli Cell-Free Transcription
■260 ▼a[Sl]▼bCornell University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a206 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aAdvisor: Varner, Jeffrey.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2024.
■520 ▼aMathematical modeling is a tool that enables the investigation of phenomena that may be hard to measure or emulate experimentally. Traditional biochemical network modeling approaches are often complex and nonlinear and require the estimation of a large number of unknown parameters. The power-law formalism - or biochemical systems theory (BST) - which is based on generic model descriptions and yields reduced systems of non-linear ordinary differential equations, has become an area of interest since it was proposed in the 1960s by Savageau. The development of accurate lower-order models of biochemical kinetics would potentially streamline the modeling process in many applications. Toward this goal, we developed dynamic power-law models in two overarching topics: coagulopathies and cell-free systems. In this work, our models describe coagulatory and fibrinolytic pathways in pregnant patients, quantifying hypercoagulability at various stages of pregnancy. We then developed models of coagulation in hemophilia patients and were able to predict clotting dynamics. Finally, we developed a model of sequence-specific gene transcription in a cell-free system and successfully captured mRNA dynamics. Taken together, we have developed lower-order models that could be used in clinical, academic, and industrial applications.
■590 ▼aSchool code: 0058.
■650 4▼aChemical engineering
■650 4▼aBiochemistry
■650 4▼aBioinformatics
■653 ▼aMathematical modeling
■653 ▼aBiochemical kinetics
■653 ▼aCell-free system
■653 ▼aHemophilia patients
■690 ▼a0542
■690 ▼a0487
■690 ▼a0715
■71020▼aCornell University▼bChemical Engineering.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163125▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
