Biochemistry, Biophysics, and Structural Biology Commons^™

Magnetically-Driven Therapeutic Agents Delivery System Using Iron Oxide Nanocages And Enhancement Of Exosome Secretion, A Potential Biological Drug Delivery Carrier, Min A Kang

Dissertations, Theses, and Capstone Projects

Nano-scale particles have attracted research attention due to their differences in properties such as penetration, circulation, and toxicity compared to bulk materials. This thesis mainly focused on using 20 nm iron oxide nanoparticles as siRNA delivery carriers under the alternating magnetic field and the development of a method to amplify the secretion of 150 nm exosomes from the cells, which could potentially use as a biological drug carrier.

Chapter 2 discusses a magnetically driven nanoparticle therapeutic agent delivery system, which efficiently modified the gene expression post-transcriptionally. In this work, we examined whether the caged-shaped 20nm iron oxide nanoparticles (IO-nanocages) can …

Out-Of-Distribution Generalization Of Deep Learning To Illuminate Dark Protein Functional Space, Tian Cai

Dissertations, Theses, and Capstone Projects

Dark protein illumination is a fundamental challenge in drug discovery where majority human proteins are understudied, i.e. with only known protein sequence but no known small molecule binder. It's a major road block to enable drug discovery paradigm shift from single-targeted which looks to identify a single target and design drug to regulate the single target to multi-targeted in a Systems Pharmacology perspective. Diseases such as Alzheimer's and Opioid-Use-Disorder plaguing millions of patients call for effective multi-targeted approach involving dark proteins. Using limited protein data to predict dark protein property requires deep learning systems with OOD generalization capacity. Out-of-Distribution (OOD) …

Optimization And Application Of Graph Neural Networks, Shuo Zhang

Dissertations, Theses, and Capstone Projects

Graph Neural Networks (GNNs) are widely recognized for their potential in learning from graph-structured data and solving complex problems. However, optimal performance and applicability of GNNs have been an open-ended challenge. This dissertation presents a series of substantial advances addressing this problem. First, we investigate attention-based GNNs, revealing a critical shortcoming: their ignorance of cardinality information that impacts their discriminative power. To rectify this, we propose Cardinality Preserved Attention (CPA) models that can be applied to any attention-based GNNs, which exhibit a marked improvement in performance. Next, we introduce the Directional Node Pair (DNP) descriptor and the Robust Molecular Graph …

Characterization Of Pathological Tau Mutants, Charles J. Mcdonald

Dissertations, Theses, and Capstone Projects

Tau is a protein expressed exclusively in glia and neurons in the central nervous system and implicated in several neurogenerative diseases called “tauopathies”. Among all the tauopathies, one third is characterized by the presence of genetic mutations leading to the synthesis of tau proteins with single amino acid substitutions at specific locations and affecting protein function. While most of the initial studies have emphasize the functional role of tau as modulator of the axonal cytoskeleton, it has recently been well accepted that tau is also an intrinsically disordered protein that tends to form membraneless organelles called coacervates, due to a …

Construction And Performance Optimization Of Bioconjugated Nanosensors For Early Detection Of Breast Cancer And Pro-Inflammatory Diseases, Pooja Gaikwad

Dissertations, Theses, and Capstone Projects

In recent years, nanosensors have emerged as a tool with strong potential in medical diagnostics. Single-walled carbon nanotube (SWCNT) based optical nanosensors have notably garnered interest due to the unique characteristics of their near-infrared fluorescence emission, including tissue transparency, photostability, and various chiralities with discrete absorption and fluorescence emission bands. Additionally, the optoelectronic properties of SWCNT are sensitive to the surrounding environment, which makes them suitable for in vitro and in vivo biosensing. Single-stranded (ss) DNA-wrapped SWCNTs have been reported as optical nanosensors for cancers and metabolic diseases. Breast cancer and cardiovascular diseases are the most common causes of death …

Characterization Of The Conformational Binding Of N-Methyl Mesoporphyrin Ix With Dna Model Telomeric G-Quadruplex Forming Sequences, Jessica Desamero

Dissertations, Theses, and Capstone Projects

DNA G-quadruplexes are alternative secondary structures formed from guanine rich DNA sequences. G-quadruplexes are found most abundantly at the ends of chromosomes called telomeres, where they can ultimately prevent further tumor growth and progression. Thus, quadruplex interactive agents, or ligands that can bind to and stabilize DNA G-quadruplex structures, are of high interest for their potential chemotherapeutic abilities. One quadruplex interactive agent is the porphyrin N-methyl mesoporphyrin IX (NMM), which has high binding selectivity for quadruplex structures. While the NMM-quadruplex complex in crystallized form has been greatly studied, this complex in solution form is not as well studied. Through circular …

The Development Of Novel Radioimmunoconjugates For The Pet Imaging And Radioimmunotherapy Of Cancer, Samantha M. Sarrett

Dissertations, Theses, and Capstone Projects

Antibodies have long played a vital role in nuclear medicine for both the diagnosis and therapy of various malignancies. The role and development of antibodies in nuclear medicine can be broadly separated into three different categories: 1) bioconjugation strategies, 2) immunoPET imaging, and 3) radioimmunotherapy. This dissertation will attempt to comprehensively cover each of these categories through a series of studies, protocols, and reviews. For the bioconjugation strategies, we will describe the development of a novel site-selective bioconjugation strategy using an innovative lysine-targeting reagent, PFP-bisN₃, to prepare [⁸⁹Zr]Zr-^SSKDFO-pertuzumab for visualizing HER2+ breast cancer. Further, …

Leveraging Local Perturbations To Map Allosteric Networks Of Phosphatases, Tamar (Skaist) Mehlman

Dissertations, Theses, and Capstone Projects

Allostery is central to regulation of protein function, but our mechanistic understanding remains incomplete. A deeper understanding of how redistributions of conformational states drive allostery in proteins could allow us to better grasp natural regulatory principles in cells and open new doors to therapeutic development. Conformationally dynamic human Protein Tyrosine Phosphatases (PTPs) exemplify the challenges and opportunities associated with allostery. The archetypal PTP, PTP1B, has been highly validated as a therapeutic target but no allosteric inhibitors have been approved for clinical use. This is largely because our understanding of the mechanisms underlying allostery in PTP1B remains limited, despite the discovery …

Metabolic Reprogramming In Kras-Driven Cancer Cells, Ahmet Hatipoglu

Dissertations, Theses, and Capstone Projects

Cancer cells require nutrient uptake for anabolic reactions needed for cellular growth and proliferation. The mammalian target of rapamycin (mTOR) is a key regulator of cellular growth that links nutrient availability and growth factor signals. mTOR mediated signaling pathways are often dysregulated in a wide range of cancers. We previously reported that KRas-driven cancer cells sense exogenous lipids via de novo production of phosphatidic acid, which ultimately activates both mTOR complexes – mTORC1 and mTORC2. Activated mTORC2 phosphorylates the survival kinase Akt at Ser 473 which is required for full Akt activation. A direct substrate of Akt and a major …

Leveraging Bio-Inspired Molecules For Cancer Theranostics, Douglas S. Macpherson

Dissertations, Theses, and Capstone Projects

A variety of molecules can be radiolabeled and delivered to a cancer site for the purposes of diagnostics and therapy. Among the most promising of tumor targeting molecules are peptides and antibodies. These bio-inspired molecules can be designed and synthesized to target and respond to cancer cells based on the properties of those cells. Matrix metalloproteinase (MMP) enzymes are over-expressed by some metastatic cancers, in which they are responsible for the degradation and remodeling of the extracellular matrix. In recent years, MMPs have emerged as promising targets for enzyme-responsive diagnostic probes because oligopeptides can be designed to be selectively hydrolyzed …