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Full-Text Articles in Engineering

Reactive Chemistries For Protein Labeling, Degradation, And Stimuli Responsive Delivery, Myrat Kurbanov Nov 2023

Reactive Chemistries For Protein Labeling, Degradation, And Stimuli Responsive Delivery, Myrat Kurbanov

Doctoral Dissertations

Reactive chemistries for protein chemical modification play an instrumental role in chemical biology, proteomics, and therapeutics. Depending on the application, the selectivity of these modifications can range from precise modification of an amino acid sequence by genetic manipulation of protein expression machinery to a stochastic modification of lysine residues on the protein surface. Ligand-Directed (LD) chemistry is one of the few methods for targeted modification of endogenous proteins without genetic engineering. However, current LD strategies are limited by stringent amino acid selectivity. To bridge this gap, this thesis focuses on the development of highly reactive LD Triggerable Michael Acceptors (LD-TMAcs) …


Electrostatic Effects On Lipid Bilayer Physicochemal Properties And Vesicle Adhesion, Oscar Zabala-Ferrera Nov 2023

Electrostatic Effects On Lipid Bilayer Physicochemal Properties And Vesicle Adhesion, Oscar Zabala-Ferrera

Doctoral Dissertations

Lipids are an integral part of cells, being the principal component of the cell membrane, and contributing to the function and regulation of biological processes. Lipid nanoparticles mimicking a cell’s endosomes or exosomes are of particular interest within the pharmaceutical industry for their ability to deliver cargo such as RNA into target cells. The delivery process faces a multitude of challenges, so a rational design approach for vesicles that considers a lipid’s physicochemical contribution to the membrane is desired. To that end, this thesis explores the creation of large area biomembranes along with the development of electromechanical and optical characterization …


An Automated, Deep Learning Approach To Systematically & Sequentially Derive Three-Dimensional Knee Kinematics Directly From Two-Dimensional Fluoroscopic Video, Viet Dung Nguyen Aug 2023

An Automated, Deep Learning Approach To Systematically & Sequentially Derive Three-Dimensional Knee Kinematics Directly From Two-Dimensional Fluoroscopic Video, Viet Dung Nguyen

Doctoral Dissertations

Total knee arthroplasty (TKA), also known as total knee replacement, is a surgical procedure to replace damaged parts of the knee joint with artificial components. It aims to relieve pain and improve knee function. TKA can improve knee kinematics and reduce pain, but it may also cause altered joint mechanics and complications. Proper patient selection, implant design, and surgical technique are important for successful outcomes. Kinematics analysis plays a vital role in TKA by evaluating knee joint movement and mechanics. It helps assess surgery success, guides implant and technique selection, informs implant design improvements, detects problems early, and improves patient …


Development And Implementation Of A Computational Modeling Tool For Evaluation Of Tha Component Position, Thang Dac Nguyen May 2023

Development And Implementation Of A Computational Modeling Tool For Evaluation Of Tha Component Position, Thang Dac Nguyen

Doctoral Dissertations

The human body is a complicated structure with muscles, ligaments, bones, and joints. Modeling human body with computational tools are becoming a trend [1]. More importantly, using computational tools to evaluate human body is a non-invasive technique that could help surgeons and researchers evaluate implant products [2]. Therefore, the development of a model which can analyze both implant sizing suggestion and kinematics of subject specific data could prove valuable. For total hip arthroplasty, one common complication is in vivo separation and dislocation of the femoral head within the acetabular cup [3] [4]. Developing a successful computational tool to address this …