Biophysics Commons^™

A Novel Transmembrane Ligand Inhibits T Cell Receptor Activation, Yujie Ye

Doctoral Dissertations

T lymphocytes (T cells) play essential roles in the adaptive immune system. Each mature T cell expresses one type of functional T cell receptor (TCR). The TCR recognizes antigens bound to the major histocompatibility complex (MHC) in antigen presenting cells. The resulting stimulation signal crosses the transmembrane domain of TCR and initiates downstream signaling cascades. The human immune system relies on TCRs to recognize a variety of pathogens. Normally, TCR can distinguish the self-antigens from pathogenic antigens. However, dysfunction or aberrant expression of TCRs causes different inflammatory and autoimmune diseases, which afflict millions of people annually (Chapter I). Current treatments …

Crowd Control: Regulating The Spatial Organization Of Biopolymers And Gene Expression By Macromolecular Crowding, Gaurav Chauhan

Doctoral Dissertations

The intracellular environment is crowded with macromolecules that can occupy a significant fraction of the cellular volume. This can give rise to attractive depletion interactions that impact the conformations and interactions of biopolymers, as well as their interactions with confining surfaces. We used computer simulations to study the effects of crowding on biologically-inspired models of polymers. We showed that crowding can lead to attractive interactions between two flexible ring polymers, and we further characterized the adsorption of both flexible and semiflexible polymers onto confining surfaces. These results indicate that crowding-induced depletion interactions could play a role in the spatial organization …

Improving The Biocompatibility Of The Bio-Inorganic Interface For Enhanced Photosystem I-Based Biophotovoltaic Device Performance, Alexandra H. Teodor

Doctoral Dissertations

The world’s energy demands are projected to increase by nearly 50% by the year 2040, and consumption of carbon-based fuels continues to release greenhouse gases such as carbon dioxide and methane into the atmosphere. This has been causally linked with climate change and increased extreme weather events, which has been further linked to adverse health outcomes and negative effects on biodiversity, food security, and increased disease transmission. Clearly, there is a need for a sustainable, carbon-free, and cost-effective method of energy production to meet growing energy production demands. The sun irradiates Earth’s surface annually with ~80,000 terawatts (TW), making solar …

Defining Interactions Between Deformable Dna Origami And Lipid Bilayers Through Molecular Dynamics Simulation, Zachary A. Loyd

Chancellor’s Honors Program Projects

No abstract provided.

Modulation Of Protein Dynamics By Ligand Binding And Solvent Composition, Richard J. Lindsay

Doctoral Dissertations

Many proteins undergo conformational switching in order to perform their cellular functions. A multitude of factors may shift the energy landscape and alter protein dynamics with varying effects on the conformations they explore. We apply atomistic molecular dynamics simulations to a variety of biomolecular systems in order to investigate how factors such as pressure, the chemical environment, and ligand binding at distant binding pockets affect the structure and dynamics of these protein systems. Further, we examine how such changes should be characterized. We first investigate how pressure and solvent modulate ligand access to the active site of a bacterial lipase …

Synthetic Heterosynaptic Plasticity Enhances The Versatility Of Memristive Systems Emulating Bio-Synapse Structure And Function, William T. Mcclintic

Doctoral Dissertations

Memristive systems occur in nature and are hallmarked via pinched hysteresis, the difference in the forward and reverse pathways for a given phenomenon. For example, neurons of the human brain are composed of synapses which apply the properties of memristance for neuronal communication, learning, and memory consolidation. Modern technology has much to gain from the characteristics of memristive systems, including lower power operation, on-chip memory, and bio-inspired computing. What is more, a relationship between memristive systems and synaptic plasticity exists and can be investigated focusing on homosynaptic and heterosynaptic plasticity. Where homosynaptic plasticity applies to interactions between neurons at a …

Computer Simulations Of Biological Systems: From Protein Dynamics To Drug Discovery, Rupesh Agarwal

Doctoral Dissertations

Computational biophysics methods such as molecular dynamics (MD) simulations are often used in combination with experimental techniques like neutron scattering, NMR, and FTIR to explore protein conformational landscapes. With the improvements in experimental techniques, there is also a need to continually optimize the MD forcefield parameters to make precise predictions that match experimental results. To complement many of these experiments, an accurate model of deuteration is frequently required, but has been elusive. In our work, we developed a novel method to capture isotope effects in classical MD simulations by re-parameterization of the bonded terms of the CHARMM forcefield using quantum …

Investigating Transmembrane-Lipid Interactions Of Epha2 And Ph Responsive Peptides, Katherine M. Stefanski

Doctoral Dissertations

Single-pass membrane receptor signaling plays vital roles in human development and maintaining homeostasis. These membrane receptors can also have causative functions in several diseases including cancer. Much is known about the structure and signaling outcomes of these receptors but the mechanistic details of how they pass an extracellular signal across the membrane and into cytoplasm via the transmembrane (TM) domain is unclear. It is further unknown how or if interactions with membrane lipids facilitate and/or regulate these events. Here we use the TYPE7 peptide to target the TM region of a receptor tyrosine kinase, EphA2. EphA2 engages in both tumorigenic …

Computational Study Of Ligand-Dependent Oligomerization Of Ribonucleotide Reductase, Bill Pham

EURēCA: Exhibition of Undergraduate Research and Creative Achievement

Certain protein oligomerization can be strongly influenced by its ligand-binding status. We constructed a computational method to investigate how ligand-binding and oligomerization can be coupled. We tackle this issue using an approximate approach of studying the properties of individual monomers and how they associate. By connecting the dynamics at monomeric level and the information of oligomer interface, we quantify the synchronization of two types of contact dynamics: (1) between the ligand and its binding pocket, and (2) the contact dynamics at interface. In this work, we applied our methodology on protein ribonucleotide reductase (RNR), which is an essential enzyme for …

Size Exclusion Chromatography Based Liposomal Protein Extraction (Selpe), Carolyn Barnes

Chancellor’s Honors Program Projects

No abstract provided.

Pinpointing The Molecular Basis For Metal Ion Effects On Plasminogen Activator Inhibitor-1 (Pai-1), Joel Cullen Bucci

Doctoral Dissertations

Plasminogen activator inhibitor type-1 (PAI-1) specifically inhibits the proteases tissue type plasminogen activator and urokinase plasminogen activator to control the activation of fibrinolysis. Vitronectin interacts with PAI-1 primarily through the somatomedin B (SMB) domain to stabilize and localize PAI-1 to sites of injury. Our laboratory observed that transition metals such as copper²⁺ have VN dependent, reciprocal effects on how long PAI-1 remains active. We aim to determine the molecular basis for effects of copper²⁺ on PAI-1 activity. We employed a computational algorithm (MUG) to predict metal binding clusters, and introduced mutations hypothesized to create metal binding deficiency. We …

Biophysical Studies Of Cell Division Protein Localization Mechanisms In Escherichia Coli, Matthew Wayne Bailey

Doctoral Dissertations

How nanometer-scale proteins position accurately within micron-scale bacteria has intrigued both biologists and physicists alike. A critical process requiring precise protein localization is cell division. In most bacteria, cell division starts with the self-assembly of the FtsZ proteins into filaments that form a ring-like structure encircling the cell at its middle, the Z-ring. The Z-ring is a scaffold for additional proteins that synthesize the lateral cell wall which separates the two daughter cells. If division planes are misplaced relative to bacterial chromosomes, also called nucleoids, daughter cells with incomplete genetic material can be produced. In Escherichia coli, research carried out …

Complex Non-Equilibrium Structural Dynamics In Globular Proteins, Xiaohu Hu

Doctoral Dissertations

Internal structural motions in proteins are essential to their functions. In this present dissertation, we present the results from an extensive set of molecular dynamics simulations of three very different globular proteins and demonstrate that the structural fluctuations observed are highly complex, manifesting in non-ergodic and self-similar subdiffusive dynamics with non-exponential relaxation behavior. The characteristic time of the motion observed at a given timescale is dependent on the length of the observation time, indicating an aging effect. By comparing the simulation results to the existing single-molecule fluorescence spectroscopic data on other globular proteins, we found the characteristic relaxation time for …

Understanding The Molecular Mechanism Underlying The Great Thermal Stability Of Thermophilic Enzymes Using Aminoglycoside Nucleotidyltransferase 4' As A Model, Xiaomin Jing

Doctoral Dissertations

The aminoglycoside nucleotidyltransferase 4' (ANT) is a homodimeric enzyme that detoxifies antibiotics by nucleotidylating at the C4'-OH site. Two thermostable variants T130K and D80Y generated by direct evolution in laboratory differ by only a single residue replacement compared to the wild type mesophilic enzyme. Both variants display enhanced melting temperatures and execute catalysis at temperatures the wild type would be inactive. However, T130K variant still keeps molecular properties of mesophilic enzyme. T130àK130 does not trigger significant change in enzyme’s local flexibility or thermodynamics of ligand binding while D80Y variant has distinct properties in ligand recognition and dynamics. We hypothesize that …

Engineering Photosystem I Complexes For Use In Bio-Hybrid Dye-Sensitized Solar Cells, Richard Franklin Simmerman

Doctoral Dissertations

Increasing global population, growing per capita energy needs, diminishing fossil fuels, and climate change collectively will require new, innovative, and sustainable alternatives to meet the world’s growing energy needs. One of the most promising yet simple approaches are dye-sensitized solar cells (DSSCs). However, conventional DSSCs use semi-conductor anodes sensitized with complex synthetic organometallic dyes. Most dyes utilize ruthenium complexes to absorb photons, which upon excitation, inject electrons into the anode, while holes migrate to the cathode via liquid electrolyte. However, these dyes are expensive, difficult to make, and resource-limited. This dissertation focuses on replacing synthetic dyes with the naturally occurring, …

Exploring Structure-Dynamics-Function Relationship In Proteins, Protein: Ligand And Protein: Protein Systems Through Computational Methods, Karan Pal Kapoor

Doctoral Dissertations

The study focuses on understanding the dynamic nature of interactions between molecules and macromolecules. Molecular modeling and simulation technologies are employed to understand how the chemical constitution of the protein, specific interactions and dynamics of its structure provide the basis of its mechanism of function. The structure-dynamics-function relationship is investigated from quantum to macromolecular-assembly level, with applications in the field of rationale drug discovery and in improving efficiency of renewable sources of energy. Results presented include investigating the role of dynamics in the following:

1) In interactions between molecules: analyzing dynamic nature of a specific non-covalent interaction known as “anion-π …

Development Of High Performance Molecular Dynamics With Application To Multimillion-Atom Biomass Simulations, Roland Schulz

Doctoral Dissertations

An understanding of the recalcitrance of plant biomass is important for efficient economic production of biofuel. Lignins are hydrophobic, branched polymers and form a residual barrier to effective hydrolysis of lignocellulosic biomass. Understanding lignin's structure, dynamics and its interaction and binding to cellulose will help with finding more efficient ways to reduce its contribution to the recalcitrance. Molecular dynamics (MD) using the GROMACS software is employed to study these properties in atomic detail. Studying complex, realistic models of pretreated plant cell walls, requires simulations significantly larger than was possible before. The most challenging part of such large simulations is the …

The In Vivo Effect Of Osmolytes On Folate Metabolism, Timkhite-Kulu Berhane

Masters Theses

Previous studies have found that addition of osmolytes weakens the binding of dihydrofolate (DHF) to R67 dihydrofolate reductase (DHFR), chromosomal DHFR from E. coli and a pteridine reductase. These results support the preferential interaction of DHF with osmolytes compared to water. Thus, a working model where interaction of DHF with osmolytes shifts the binding away from the protein-DHF complex towards the free species was proposed. As tetrahydrofolate and other folate redox states have similar structures to DHF, we predict osmotic stress will lower the catalytic efficiencies of other folate pathway enzymes. In this thesis, we explore the in vivo effects …

The Dissolution Of Cellulose In Ionic Liquids - A Molecular Dynamics Study, Barmak Mostofian

Doctoral Dissertations

The use of ionic liquids for the dissolution of cellulose promises an alternative method for the thermochemical pretreatment of biomass that may be more efficient and environmentally acceptable than conventional techniques in aqueous solution. Understanding how ionic liquids act on cellulose is essential for improving pretreatment conditions and thus detailed knowledge of the interactions between solute and solvent molecules is necessary. Here, results from the first all-atom molecular dynamics simulation of an entire cellulose microfibril in 1-butyl-3-methylimidazolium chloride (BmimCl) are presented and the interactions and orientations of solvent ions with respect to glucose units on the hydrophobic and hydrophilic surfaces …

Pore Selectivity And Gating Of Arabidopsis Nodulin 26 Intrinsic Proteins And Roles In Boric Acid Transport In Reproductive Growth, Tian Li

Doctoral Dissertations

Plant nodulin-26 intrinsic proteins (NIPs) are members of the aquaporin superfamily that serve as multifunctional channels of uncharged metabolites and water. They share the same canonical hourglass fold as the aquaporin family. The aromatic arginine (ar/R) selectivity filter controls transport selectivity based on size, hydrophobicity, and hydrogen bonding with substrates. In Arabidopsis thaliana, NIP II subclass proteins contain a conserved ar/R “pore signature” that is composed of Alanine at the helix 2 position (H2), Valine/Isoleucine at the helix 5 position (H5), and an Alanine (LE1) and an invariant Arginine (LE2) at the two loop E positions. In this study, …

Applications And Improvements In The Molecular Modeling Of Protein And Ligand Interactions, Jason Bret Harris

Doctoral Dissertations

Understanding protein and ligand interactions is fundamental to treat disease and avoid toxicity in biological organisms. Molecular modeling is a helpful but imperfect tool used in computer-aided toxicology and drug discovery. In this work, molecular docking and structural informatics have been integrated with other modeling methods and physical experiments to better understand and improve predictions for protein and ligand interactions. Results presented as part of this research include:

1.) an application of single-protein docking for an intermediate state structure, specifically, modeling an intermediate state structure of alpha-1-antitrypsin and using the resulting model to virtually screen for chemical inhibitors that can …

Structural Characterization Of The Redox-Dependent Differences In The Cytochrome P450cam-Putidaredoxin Complex Using Solution Nmr Spectroscopy, Nicholas John Lopes

Masters Theses

Complexation between proteins as part of biological electron transfer reactions is driven by precise interactions that are often characterized by short lifetimes, weak affinities and high turnover rates. These complex interactions are difficult to study structurally in physiologically relevant oxidation states due to their transient nature and/or large molecular sizes. One such protein complex in the cytochrome P450 family of enzymes that is of great interest to researchers due to its prototypical nature is the Putidaredoxin (Pdx)- cytochrome P450cam (CYP101) electron transfer complex that is involved in hydroxylation of D-camphor in the bacterium Pseudomonas putida. While the individual protein structures …

Application Of Computational Molecular Biophysics To Problems In Bacterial Chemotaxis, Davi Ortega

Doctoral Dissertations

The combination of physics, biology, chemistry, and computer science constitutes the promising field of computational molecular biophysics. This field studies the molecular properties of DNA, protein lipids and biomolecules using computational methods. For this dissertation, I approached four problems involving the chemotaxis pathway, the set of proteins that function as the navigation system of bacteria and lower eukaryotes.

In the first chapter, I used a special-purpose machine for molecular dynamics simulations, Anton, to simulate the signaling domain of the chemoreceptor in different signaling states for a total of 6 microseconds. Among other findings, this study provides enough evidence to propose …

Understanding The Origins Of Product Specificity Of Protein Methyltransferases From Qm/Mm Md And Free Energy Simulations, Yuzhuo Chu

Doctoral Dissertations

Protein lysine methyltransferases (PKMTs) catalyze the methylation of certain lysine residues on histone tails using S-adenosyl-L-methionine (AdoMet) as the methyl donor. Regulation of chromatin structure and gene expression through histone lysine methylation depends on the degree of methylation. Therefore, it is of importance to understand the features of PKMTs that control how many methyl groups would be added to the target lysine (product specificity). In my dissertation, I have applied quantum mechanical/molecular mechanical (QM/MM) molecular dynamics (MD) and free energy simulations to understand the origin of the product specificities of SET8, GLP and their mutants. The relative free energy barriers …

Soybean Nodulin 26: A Channel For Water And Ammonia At The Symbiotic Interface Of Legumes And Nitrogen-Fixing Rhizobia Bacteria, Jin Ha Hwang

Doctoral Dissertations

During the infection and nodulation of legume roots by soil bacteria of the Rhizobiaceae family, the invading endosymbiont becomes enclosed within a specialized nitrogen-fixing organelle known as the "symbiosome". In mature nodules the host infected cells are occupied by thousands of symbiosomes, which constitute the major organelle within this specialized cell type. The symbiosome membrane is the outer boundary of this organelle which controls the transport of metabolites between the symbiont and the plant host. These transport activities include the efflux of the primary metabolic product of nitrogen fixation and the uptake of dicarboxylates as an energy source to support …

Aspects Of Biomacromolecular Dynamics At Different Scales, Dennis Christian Glass

Doctoral Dissertations

Biological functions of biomacromolecules are often indispensably linked to their internal dynamics. To investigate the dynamic nature of biomolecules, molecular dynamics (MD) simulation offers unique advantages by providing high spatial and temporal resolution over orders of magnitude in time- and length scales. Here, simulations at two different scales are used to investigate different aspects of biomolecular dynamics. At the atomistic scale, the first study investigates the relationship between the axial methyl group order parameter and the corresponding entropy in protein side chains. Three classes of methyl group are characterized based on the methyl group’s “topological distance” from the backbone (that …

Towards A Unification Of Supercomputing, Molecular Dynamics Simulation And Experimental Neutron And X-Ray Scattering Techniques, Benjamin Lindner

Doctoral Dissertations

Molecular dynamics simulation has become an essential tool for scientific discovery and investigation. The ability to evaluate every atomic coordinate for each time instant sets it apart from other methodologies, which can only access experimental observables as an outcome of the atomic coordinates. Here, the utility of molecular dynamics is illustrated by investigating the structure and dynamics of fundamental models of cellulose fibers. For that, a highly parallel code has been developed to compute static and dynamical scattering functions efficiently on modern supercomputing architectures. Using state of the art supercomputing facilities, molecular dynamics code and parallelization strategies, this work also …

Investigating The Flexibility Of Intrinsically Disordered Proteins In Folding And Binding, Amanda Leilah Debuhr

Chancellor’s Honors Program Projects

No abstract provided.

A Time-And-Space Parallelized Algorithm For The Cable Equation, Chuan Li

Doctoral Dissertations

Electrical propagation in excitable tissue, such as nerve fibers and heart muscle, is described by a nonlinear diffusion-reaction parabolic partial differential equation for the transmembrane voltage $V(x,t)$, known as the cable equation. This equation involves a highly nonlinear source term, representing the total ionic current across the membrane, governed by a Hodgkin-Huxley type ionic model, and requires the solution of a system of ordinary differential equations. Thus, the model consists of a PDE (in 1-, 2- or 3-dimensions) coupled to a system of ODEs, and it is very expensive to solve, especially in 2 and 3 dimensions.

In order to …

Adaptation And Stochasticity Of Natural Complex Systems, Roy David Dar

Doctoral Dissertations

The methods that fueled the microscale revolution (top-down design/fabrication, combined with application of forces large enough to overpower stochasticity) constitute an approach that will not scale down to nanoscale systems. In contrast, in nanotechnology, we strive to embrace nature’s quite different paradigms to create functional systems, such as self-assembly to create structures, exploiting stochasticity, rather than overwhelming it, in order to create deterministic, yet highly adaptable, behavior. Nature’s approach, through billions of years of evolutionary development, has achieved self-assembling, self-duplicating, self-healing, adaptive systems. Compared to microprocessors, nature’s approach has achieved eight orders of magnitude higher memory density and three orders …