Chemistry & Biochemistry Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/2752
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Item Optimized simulations of fermionic systems on a quantum computer(2024) Wang, Qingfeng; Monroe, Christopher; Chemical Physics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Quantum computing holds promise for simulating microscopic phenomena, offering profound implications across disciplines such as chemistry, condensed matter physics, and high-energy physics, particularly in the accurate simulation of fermions. However, practical implementation requires the optimization of quantum programs to mitigate quantum noise and decoherence effects. Given the constraints of near-term quantum computers, the Variational Quantum Eigensolver (VQE) emerges as a key approach for estimating molecular ground state energies, crucial for determining chemical properties. This work aims to present advancements in optimizing VQE simulations to minimize quantum computational resources. Specifically, this work explores various optimization strategies, including the utilization of second-order perturbation correction to recover additional energy beyond VQE estimates and select critical ansatz terms. Additionally, circuit optimization techniques are investigated, focusing on achieving shorter equivalent ansatz circuits, particularly for physically-inspired VQE ansatz, through methods such as generalized fermion-to-qubit transformations and Pauli string orderings. Furthermore, this work demonstrates the advantage of a better initial state on a trapped-ion quantum computer.Item Exploring Mechanisms and Predicting Reactivity of Transition Metal-Catalyzed and Photocatalyzed Radical and Polar Organic Transformations(2023) Martin, Robert Thompson; Davis, Jeffery; Chemistry; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The creation of protocols to form novel C-C and C-heteroatom bonds has been the primary goal of organic synthesis since its inception. Chemists have long harnessed both radical and polar reactivities, often as complementary paths to construct these bonds to yield more complex molecular architectures. However, compared to the development of synthetic protocols, development of mechanistic models and enriching of mechanistic understanding of many organic reactions has been limited. Computational studies into the mechanisms of organic transformations provide an avenue by which mechanisms of reactions can be better understood and new patterns of reactivity can be predicted. Herein, quantum-mechanical computational methods e.g., density functional theory (DFT) have been employed in the pursuit of understanding the mechanisms of a series of radical and polar reaction schemes. Specifically, DFT calculations were employed to understand the mechanism and origins of selectivity of two nickel(I)-catalyzed olefin functionalizations. These studies demonstrate a catalyst-control scheme by which selectivity can be induced by the steric properties of the catalyst (Chapter 1). Following this work, two photocatalytic transformations which yield difluorinated products were studied thoroughly with computations. First, a synthesis of difluorinated lactone derivatives revealed a long-lived radical intermediate and motivated mechanistic experiments to isolate this radical. Next, a synthesis of difluorinated oxindole derivatives demonstrated the ability of arenethiols to act as photocatalysts (Chapter 2). Then, computations were used to rigorously explore a copper-catalyzed reductive cross-coupling of imine and allenamides. Specifically, computations were employed to explore the mechanism of the transformation and the origins of stereoselectivity and the divergent formation of urea and diamine products (Chapter 3). Finally, two computational investigations into the mechanisms of transformations catalyzed by first-row transition metals are detailed. In particular, a nickel-catalyzed hydroarylation of gem-difluoroalkenes is explored computationally to determine the order of steps in the reaction. In addition, the mechanism of a cobalt(I)-catalyzed allylic substitution is considered to ascertain the nature of the transformation as either radical or polar (Chapter 4). Given the complexity of the mechanisms of these transformations, computational studies provide an alternative route to acquire useful mechanistic understanding that can support or explain observed experiments and suggest further mechanistic experiments that could provide stronger evidence for a given mechanistic proposal.Item EPIGENETICS TUNE CHROMATIN MECHANICS, A COMPUTATIONAL APPROACH(2021) Pitman, Mary; Papoian, Garegin A; Chemistry; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The base unit of DNA packaging in eukaryotes, the nucleosome, is adaptively modified for epigenetic control. Given the vast chemical space of chromatin and complexity of signaling and expression, much of our knowledge about genetic regulation comes from a biochemical or structural perspective. However, the architecture and function of chromatin also mechanically responds to non-equilibrium forces. Mechanical and biochemical properties are not independent of one another and the interplay of both of these material properties is an area of chromatin physics with many remaining questions. Therefore, I set out to determine how the material properties of chromatin are altered by biochemical variations of nucleosomes. All-atom molecular dynamics is employed coupled with new computational and theoretical tools. My findings and predictions were collaboratively validated and biologically contextualized through multiscale experimental methods. First, I computationally discover that epigenetic switches buried within the nucleosome core alter DNA accessibility and the recruitment of essential proteins for mitosis. Next, using new computational tools, I report that centromeric nucleosomes are more elastic than their canonical counterparts and that centromeric nucleosomes rigidify when seeded for kinetochore formation. We conclude that the material properties of variants and binding events correlate with modified loading of transcriptional machinery. Further, I present my theoretical approach called Minimal Cylinder Analysis (MCA) that uses strain fluctuations to determine the Young's modulus of nucleosomes from all-atom molecular dynamics simulations. I show and explain why MCA achieves quantitative agreement with experimental measurements. Finally, the elasticity of hybrid nucleosomes in cancer is measured from simulation, and I implicate this oncogenic variant in potential neocentromere formation. Together, these data link the physics of nucleosome variations to chromatin states' plasticity and biological ramifications.Item EMERGENT NETWORK ORGANIZATION IN LINEAR AND DENDRITIC ACTIN NETWORKS REVEALED BY MECHANOCHEMICAL SIMULATIONS(2021) Chandrasekaran, Aravind; Papoian, Garegin A; Chemistry; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Cells employ networks of filamentous biopolymers to achieve shape changes and exert migratory forces. As the networks offer structural integrity to a cell, they are referred to as the cytoskeleton. Actin is an essential component of the cellular cytoskeleton. The organization of the actin cytoskeleton is through a combination of linear and branched filaments. Despite the knowledge of various actin-binding proteins and their interactions with individual actin filaments, the network level organization that emerges from filament level dynamics is not well understood. In this thesis, we address this issue by using advanced computer simulations that account for the complex mechanochemical dynamics of the actin networks. We begin by investigating the conditions that stabilize three critical bundle morphologies formed of linear actin filaments in the absence of external forces. We find that unipolar bundles are more stable than apolar bundles. We provide a novel mechanism for the sarcomere-like organization of bundles that have not been reported before. Then, we investigate the effect of branching nucleators, Arp2/3, on the hierarchical organization of actin in a network.By analyzing actin density fields, we find that Arp2/3 works antagonistic to myosin contractility, and excess Arp2/3 leads to spatial fragmentation of high-density actin domains. We also highlight the roles of myosin and Arp2/3 in causing the fragmentation. Finally, we understand the cooperation between the linear and dendritic filament organization strategies in the context of the growth cone. We simulate networks at various concentrations of branching molecule Arp2/3 and processive polymerase, Enabled to mimic the effect of a key axonal signaling protein, Abelson receptor non-tyrosine kinase (Abl). We find that Arp2/3 has a more substantial role in altering filament lengths and spatial actin distribution. By looking at conditions that mimic Abl signaling, we find that overexpression mimics are characterized by network fragmentation. We explore the consequence of such a fragmentation with perturbative simulations and determine that Abl overexpression causes mechanochemical fragmentation of actin networks. This finding could explain the increased developmental errors and actin fragmentation observed in vivo. Our research provides fundamental self-assembly mechanisms for linear and dendritic actin networks also highlights specific mechanochemical properties that have not been observed earlier.