Theses and Dissertations from UMD
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Item Biomechanical regulation of T cells: The cytoskeleton at the nexus of force and function(2024) Pathni, Aashli; Upadhyaya, Arpita; Molecular and Cell Biology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The adaptive immune response is a sophisticated and multi-pronged defense mechanism that provides specific and long-lasting protection against infections and cancer. Central to this response are T lymphocytes - immune cells that orchestrate the immune response and directly eliminate infected or malignant cells. T cell function is intricately linked to their cytoskeleton, a dynamic network of protein filaments, consisting of actin, microtubules, and intermediate filaments, which provides structure, facilitates movement, and regulates intracellular transport. While the biochemical aspects of T cell function have been well-studied, recent advances have highlighted how mechanical forces influence T cell behaviors such as activation, migration, and effector functions—all processes driven by dynamic cytoskeletal remodeling. However, the mechanisms by which cytoskeletal dynamics, forces and mechanical stimuli drive T cell function remain poorly understood. This dissertation investigates this interplay, focusing on cytotoxic T lymphocytes (CTLs), a subtype of T cells that directly kill infected or cancerous cells. To launch a killing response, naïve CD8+ T cells must be activated by antigen-presenting cells (APCs) in lymph nodes, following which they proliferate and differentiate into an effector CTL population. CTLs eliminate targets via a specialized interface called the immunological synapse (IS), where they release lytic granules containing cytotoxic molecules and exert cytoskeletal forces to induce target cell death. A key event in IS formation is polarization of the centrosome, or the microtubule-organizing center, facilitating directional release of lytic granules. We first examined how biochemical signals provided by APCs modulate the cellular cytoskeleton. APCs provide not only antigenic stimulation, but also co-stimulatory signals required for full activation. Inflammatory cytokines such as interleukin-12 (IL-12) act as a third signal, enhancing CTL proliferation and cytotoxicity. Our findings demonstrate that CTLs activated in the presence of IL-12 exhibit enhanced IS formation, altered actin dynamics and microtubule growth, and generate greater mechanical forces, thus highlighting how activation signals can shape T cell mechanics, dynamics and function. Next, we investigated how the mechanical properties of target cells influence CTL function. Employing a biomimetic hydrogel system that mimics the stiffness of target cells, we demonstrate that substrate stiffness modulates multiple aspects of CTL responses. CTLs interacting with stiffer substrates exhibit enhanced spreading, accelerated actin ring formation, increased contractile forces, and more efficient centrosome polarization. Mechanical cues also influence lytic granule release and the nuclear translocation of mechanosensitive transcription factors. This work underscores the importance of mechanical cues in regulating immune responses. Given that coordinated cytoskeletal interactions are crucial for T cells to effectively respond to environmental cues, we further examined this crosstalk with a focus on intermediate filaments, the third, often understudied component of the cytoskeleton. Our characterization of the vimentin intermediate filament network reveals an expansive structure complementary to and dependent on other cytoskeletal components. We study the dynamics and organization of the vimentin network and find a close association of this network with the centrosome. Our results suggest a structural role for vimentin in supporting IS formation. Throughout this work, we use advanced imaging techniques and analysis approaches to probe various facets of T cell function. By bridging immunology, cell biology, and biophysics, this research contributes to our understanding of how physical forces shape immune responses.Item Analyzing the Dynamics of Biological and Artificial Neural Networks with Applications to Machine Learning(2024) Srinivasan, Keshav; Girvan, Michelle; Biophysics (BIPH); Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The study of the brain has profoundly shaped the evolution of computational learning models and the history of neural networks. This journey began in the 1940s with Warren McCulloch and Walter Pitts’ groundbreaking work on the first mathematical model of a neuron, laying the foundation for artificial neural networks. The 1950s and 60s witnessed a significant milestone with Frank Rosenblatt’s development of the perceptron, showcasing the potential of neural networks for complex computational tasks. Since then, the field of neural networks has witnessed explosive growth, and terms like “Artificial Intelligence” and “Machine Learning” have become commonplace across diverse fields, including finance,medicine, and science. This dissertation explores the symbiotic parallels between neuroscience and machine learning, focusing on the dynamics of biological and artificial neural networks. We begin by examining artificial neural networks, particularly in predicting the dynamics of large, complex networks—a paradigm where traditional machine learning algorithms often struggle. To address this, we propose a novel approach utilizing a parallel architecture that mimics the network’s structure, achieving scalable and accurate predictions. Shifting our focus to biological neuronal networks, we delve into the theory of critical systems. This theory posits that the brain, when viewed as a complex dynamical system, operates near a critical point, a state ideal for efficient information processing. A key experimental observation of this type of criticality is neuronal avalanches—scale-free cascades of neuronal activity—which have been documented both in vitro (in neuronal cultures and acute brain slices) and in vivo (in the brains of awake animals). Recent advancements in experimental techniques, such as multi-photon imaging and genetically encoded fluorescent markers, allow for the measurement of activity in living organisms with unparalleled single-cell resolution. Despite these advances, significant challenges remain when only a fraction of neurons can be recorded with sufficient resolution, leading to inaccurate estimations of power-law relationships in size, duration, and scaling of neuronal avalanches. We demonstrate that by analyzing simulated critical neuronal networks alongside real 2-photon imaging data, temporal coarse-graining can recover the critical value of the mean size vs. duration scaling of neuronal avalanches, allowing for more accurate estimations of critical brain dynamics even from subsampled data. Finally, we bridge the gap between machine learning and neuroscience by exploring the concept of excitatory-inhibitory balance, a crucial feature of neuronal networks in the brain, within the framework of reservoir computing. We emphasize the stabilizing role of inhibition in reservoir computers (RCs), mirroring its function in the brain. We propose a novel inhibitory adaptation mechanism that allows RCs to autonomously adjust inhibitory connections to achieve a specific firing rate target, motivated by the firing rate homeostasis observed in biological neurons. Overall, this dissertation strives to deepen the ongoing collaboration between neuroscience and machine learning, fostering advancements that will benefit both fields.Item ESOTAXIS: IDENTIFYING THE FACTORS THAT INFLUENCE NANOTOPOGRAPHIC GUIDANCE OF THE DYNAMICS AND ORGANIZATION OF THE ACTIN CYTOSKELETON AND OTHER MOLECULES INVOLVED IN DIRECTED CELL MIGRATION(2024) Hourwitz, Matt; Fourkas, John T.; Losert, Wolfgang; Chemistry; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Directed migration is a crucial capability of cells in developmental and immunological processes. Defects in cell migration can lead to negative health outcomes. Cell motion depends on the organization and dynamics of internal components, especially the actin cytoskeleton, and the extracellular environment. Microscale and nanoscale topographical cues, with at least one dimension that is much smaller than most cells, can bias cell motion over long distances, due to the guidance of the organization and dynamics of the cytoskeleton and other molecules and assemblies within the cell. In this work, I describe a technique to reproduce patterned nanotopographic substrates for use in the study of esotaxis, the guided organization and dynamics of the actin cytoskeleton and other cellular components in response to nanotopographic cues. The guidance of actin drives directed cell motion along a pattern with dimensions much smaller than the cell. The dimensions of the nanotopography determine the extent to which cellular components are guided. Differences in the physical properties of the plasma membrane and the actin cytoskeleton among cell lines will influence the extent of guidance by nanotopography. Asymmetric patterns can accentuate the distinctions in esotactic responses among cell lines and drive contact guidance in different directions. The cytoskeletal response to nanotopography is a local phenomenon. A cell in contact with multiple nanotopographic cues simultaneously will show distinct organization of actin in the different regions of the cell. The importance of local actin dynamics requires an analysis method, optical flow, that can identify and track the distinct cytoskeletal motions in different parts of the cell. The formation of adhesions attached to the extracellular matrix is a characteristic of the migratory behavior of many types of cells and these adhesions are credited with allowing the cell to sense and interact with the underlying substrate. Actin can sense nanotopographic cues without the widespread availability of adhesive ligands. Although adhesion to the substrate strongly increases the extent of cell spreading and migration on nanoridges, epithelial cells can align with and migrate along nanotopography even with a dearth of adhesive cues. Therefore, actin is a supreme sensor of nanotopography that can drive directed cell migration.Item ST(ILL) SOUNDS: WAVES OF SOUND, HEALTH, AND THE CHOREOGRAPHIC PROCESS(2024) Falcon, Britney; Crawford, Samuel; Keefe, Maura; Dance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)st(ill) sounds: waves of sound, health, and the choreographic process, explores the intersections of sound, healthcare, choreography, and dance performance. The research draws upon psychology, physical and cognitive science, visual art, technology, linguistics, and cripistemologies. Central to the research is the concept of the body as a conduit for the construction of sonic material and states of being. Through critical listening, investigations of the visual, aural, and sensorial, are ways to frame embodied consciousness, identity forming, and cultural exchange. Guided by inquiries into modes of listening and desired modes of being heard, the research unravels the interconnectedness of sound’s affect. The work of Pauline Oliveros, Nina Sun Eidsheim, Nancy Stark Smith, Stanley Keleman, and Cymatic Technology ground this research. The choreographic process is discussed through diverse frameworks and practices which include the exploration of fluid dynamics, wave phenomena, bodily landscapes, vibratory practices, and the co-emergent properties of echo as a feminist force. The research culminates in the creation of a transformative sonic experience through its contributions to performance, process, and relationality, underscored by access.Item THE ROLE OF THE PROTEIN-LIPID BOUNDARY IN THE GATING OF THE MECHANOSENSITIVE CHANNEL MSCS, AND THE THERMODYNAMICS OF ARGININE-PHOSPHATE INTERACTIONS(2024) Britt, Madolyn; Sukharev, Sergei; Biophysics (BIPH); Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Bacteria are exceptionally adaptive to a wide range of conditions. The E. coli mechanosensitive channel MscS is a low-threshold osmolyte release valve that provides environmental stability by regulating turgor pressure to prevent cell swelling and lysis in response to hypoosmotic shock. MscS is an adaptive multi-state channel that gates directly in response to tension in the surrounding lipid bilayer. Although MscS has three functional states (closed, open, inactivated), there are only two classes of structures: (1) nonconductive, characterized by splayed lipid-facing helices, kinked pore-lining helices, and lipid perturbations at the cytoplasmic interface and (2) semi-open conductive, characterized by an expanded pore that does not fully satisfy the experimental conductance. Currently, there is no consensus on how to relate these structural states to functional states. By default, the nonconductive structure is regularly assumed closed in the literature. In this thesis, I contribute to the body of existing experimental evidence that strongly suggests that the nonconductive structure corresponds to the inactivated state, rather than the closed state. Specifically, I focus on the channel as a membrane-embedded physical object and look to examine how lipids mediate tension-driven conformational dynamics. I use mutagenesis and patch-clamp electrophysiology to determine how MscS mutants with different protein-lipid interactions alter functional state distributions and transition rates. I then leverage these data to inform structure interpretation. Correctly identifying the structures of MscS that correspond to each functional state and the physical factors that stabilize them is critical towards understanding the underlying mechanism for MscS mechanosensitivity and its adaptive functional cycle. Chapter 2 explores how mutations of conserved anchor residues R46 and R74, interacting with lipid phosphates, affect gating transitions. We find that mutations at these positions predominantly alter the kinetics and voltage dependence of slow inactivation transitions, suggesting that extensive lipid rearrangement around these residues is a structural feature of inactivation. We also identify membrane potential as a factor regulating MscS state distribution. Chapter 3 investigates the role of protein-lipid interactions at both cytoplasmic and periplasmic interfaces in MscS functional behavior. Results indicate that MscS requires TM helix mobility at the periplasmic interface, but helix stability at the cytoplasmic interface for proper state transitions. We also find an interesting mutant, R46L/R74L, that is highly predisposed toward the inactivated state in giant spheroplasts, but apparently distributed normally into the closed state in actively metabolizing bacteria, providing evidence that the MscS population is under metabolic control. Finally, Chapter 4 aims to improve methods for examining these interactions in silico. The thermodynamics of arginine small peptide interactions with POPC, POPA, and POPG phospholipids is determined using ITC, and the affinity is found to depend on the accessibility of the lipid phosphate group. I also identify the ensemble of peptide-membrane bound states by constructing Markov state models from clustered trajectory data, revealing discrepancies between experimental and simulation results. These data are the first steps toward improving FF descriptions of arginine-phosphate interactions within membranes.Item EXPERIMENTAL INVESTIGATION OF THE LIPID-BINDING MECHANISM OF OSH4 PROTEIN(2024) Konakbayeva, Dinara; Karlsson, Amy; Chemical Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Recent findings show that intracellular lipid traffic between organelles primarily occurs through a non-vesicular pathway involving lipid transport proteins (LTPs) and is facilitated by areas of close apposition between two organelles so called membrane contact sites (MCS). Oxysterol-binding homologue (Osh) proteins in the yeast Saccharomyces cerevisiae serve as examples of LTPs. Osh proteins are crucial for transporting signaling lipids and are believed to form MCSs. In this study, we examined the binding mechanism of the Osh4 protein, aiming to gain a better understanding of its explicit membrane-binding mechanism.The Osh4 protein possesses an α-helical binding domain known as the amphipathic lipid-packing sensor (ALPS)-like motif. Our approach involved utilizing experimental methods to examine the biophysical interactions of both the ALPS peptide and the full-length Osh4 protein. To investigate the binding interactions of ALPS with membranes of different lipid compositions, we examined its interactions with three different mixtures of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC; has a zwitterionic head group) and 1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-L-serine (POPS; has a negatively charged head group)—1:1 POPC-POPS, 4:1 POPC-POPS, and 9:1 POPC-POPS—as well as pure POPC. To understand the structural changes in ALPS and model membranes during peptide-membrane interactions, we performed a series of experimental studies. Circular dichroism (CD) was used to study the changes in the secondary structure of ALPS in different environments. The CD data indicated that the α-helical conformation of the ALPS peptide was more pronounced in the presence of POPC-POPS liposomes, especially with a higher content of POPS lipid, compared to liposomes composed entirely of POPC. This observation underscores the significant influence of anionic lipids in the facilitation of peptide folding at the membrane-water interface. X-ray diffraction was utilized to study the changes in membrane structure upon ALPS binds to it. The X-ray diffraction results showed that the ALPS peptide caused thinning of the multilayer with an increased POPS lipid ratio. This could be due to the electrostatic interaction of the positively charged Lys residue in the ALPS sequence with the anionic POPS lipid. We also studied the binding of the peptide to membranes by observing changes in the Trp fluorescence emission spectrum of ALPS upon the addition of liposomes. We observed a blue shift in the fluorescence emission maximum of Trp with higher POPS content. This suggests that the ALPS peptide was experiencing a more hydrophobic and less polar environment in the presence of the liposomes, indicating possible penetration of the peptide into the hydrocarbon region of the bilayer. The blue shifts of Trp emission in the presence of POPS liposomes were higher than those observed with POPC liposomes and suggest that the ALPS peptide binds better to charged POPS lipids, which is consistent with the X-ray diffraction data. We also conducted Trp fluorescence titration and ITC experiments to gain deeper insights into the binding affinity of the ALPS peptide to a model membrane. Using fluorescence data, we estimated the binding constant for the binding of ALPS to liposomes by performing titration measurements of vesicles with the ALPS peptide. Our analysis demonstrated that ALPS binding to 4:1 POPC-POPS lipid membranes had a Kd of 1.88 ± 0.47 μM, which corresponds to a free energy change (ΔG) of -7.82 ± 0.15 kcal/mol. Additionally, the ITC experiments performed with the same vesicles yielded a ΔG of -4.41± 0.04 kcal/mol. This result is slightly less than the ΔG value of -7.82 ± 0.15 kcal/mol obtained from fluorescence spectroscopy titration. The observed discrepancy of -3.41 kcal/mol may indicate the energy associated with the folding of the ALPS peptide. In order to understand how Osh4 forms MCSs between two membranes, we need to examine how the membranes interact with the full-length protein. The first step to achieve this is to produce the protein through recombinant protein production methods. After evaluating two different fusion tags, glutathione S-transferase (GST) and small ubiquitin-related modifier (SUMO), it was found that the SUMO tag resulted in higher protein yield and greater protein purity. Our work lays the foundation for future experiments with the full-length Osh4 protein to improve our understanding of the mechanisms of lipid transport between membranes. Our results emphasize the ALPS peptide’s selectivity for specific lipid environments, particularly its affinity for anionic lipids. We demonstrated that the presence of anionic lipids is crucial for the motif's ability to induce conformational changes upon binding to a membrane, and these conformational changes likely play a critical role in intracellular lipid trafficking and membrane organization.Item UNRAVELING THE ROLE OF LASSA VIRUS TRANSMEMBRANE DOMAIN IN VIRAL FUSION MECHANISM(2024) Keating, Patrick Marcellus; Lee, Jinwoo; Biochemistry; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Lassa virus (LASV) is the most prevalent member of the arenavirus family and the causative agent of Lassa fever, a viral hemorrhagic fever. Although there are annual outbreaks in West Africa and recently isolated cases worldwide, no current therapeutics or vaccines pose LASV as a significant global public health threat. One of the key steps in LASV infection is the delivery of its genetic material by fusing its viral membrane with the host cell membrane. This process is facilitated by significant conformational changes within glycoprotein 2 (GP2), yielding distinct prefusion and postfusion structural states. However, structural information is missing to understand the changes that occur in the transmembrane domain (TM) during the fusion process. Investigating how the TM participates in membrane fusion will provide new insights into the LASV fusion mechanism and uncover a new therapeutic target sight to combat the dangerous infection. Here, we describe our protocols for expressing and purifying the isolated TM and our GP2 constructs which we use to probe the relationship between the structure of the TM and its influence on the function of GP2.We express TM as a fusion protein with a Hisx9 tag and a TrpLE tag using E. coli bacterial cells. We purify the TM using Nickel affinity chromatography and enzymatic cleavage to remove the tags. Since the TM is prone to aggregation, we must use a strong denaturant, trichloroacetic acid (TCA), to remove the TM from the resin. The isolated TM is then buffer exchanged to a detergent solution for structural studies. Using circular dichroism (CD) and nuclear magnetic resonance (NMR) spectroscopy, our structural studies revealed a pH-dependent structural change resulting in an N-terminal extension of the alpha helix in the postfusion state. To test the importance of this structural change, we used the GP2 construct to perform a modified lipid mixing fusion assay. Our results from the fusion assay and a combined mutational study revealed that this structural change is important for the fusion efficiency of GP2. Loss of this extension resulted in lower fusion activity. To further understand these structural changes and to probe the TM’s environmental interactions, we turned to fluorine NMR. This method gives us a unique and highly sensitive probe to monitor changes in the structure and membrane environment. We describe our incorporation protocol of fluorine into the TM and our method for incorporating the TM into a lipid bilayer system. We describe preliminary results showing sensitive changes in the structure of the TM and the implications this method has to enhance our understanding of the LASV membrane fusion mechanism.Item Understanding Allosteric Communication in Biological Systems using Molecular Dynamics Simulations(2024) Samanta, Riya; Matysiak, Silvina; Biophysics (BIPH); Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Allostery is critical to survival in living organisms due to its biological relevance in signal transduction, metabolism, and drug discovery. However, the molecular details of this phenomenon remain unclear. In this thesis, I present my work on two allosteric protein systems, each representative of structure-based (E. coli Biotin Protein Ligase) and dynamics-based (B. taurus S100B) allostery. I examined the structural and dynamic features of the proteins and associated variants subjected to various allosteric triggers (ligand/salt/mutations) to study how external/internal perturbations transmit across large distances using Molecular Dyanmic simulations in conjunction with the experiments carried out by our collaborators. Additionally, I carried out Network analyses on the two systems to characterize communication pathways on the protein/ protein family levels. Together, the structural and dynamic features would help us elucidate the underlying mechanism of allostery. The first chapter introduces the two systems with a brief dive into the history of allostery. In the second chapter, my work on E. coli Biotin Protein Ligase and its variants reveal one possible mechanism by which disorder-to-order transitions at the functional surfaces transmit via local changes around the critical residues in the allosteric network. The third chapter explores how the protein network reconfigures to adopt a new allosteric function by studying the allosteric and non-allosteric Biotin Protein Ligases. The fourth chapter elucidates the structural and dynamical markers in bovine S100B, which help to relay information about an allosteric signal by varying two allosteric triggers - ionic strength and target peptide. The final chapter sums up my conclusions, where I propose additional experiments and computational analyses that could be carried out to further our understanding of allostery.Item Analyzing and Enhancing Molecular Dynamics Through the Synergy of Physics and Artificial Intelligence(2024) Wang, Dedi; Tiwary, Pratyush; Biophysics (BIPH); Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Rapid advances in computational power have made all-atom molecular dynamics (MD) a powerful tool for studying systems in biophysics, chemical physics and beyond. By solving Newton's equations of motion in silico, MD simulations allow us to track the time evolution of complex molecular systems in an all-atom, femtosecond resolution, enabling the evaluation of both their thermodynamic and kinetic properties. Though MD simulations are powerful, their effectiveness is often hampered by the large amount of data they produce. For instance, a standard microsecond-long simulation of a protein can easily generate hundreds of gigabytes of data, which can be difficult to analyze. Moreover, the time required to conduct these simulations can be prohibitively long. Microsecond-long simulations often take weeks to complete, whereas the processes of interest may occur on the timescale of milliseconds or even hundreds of seconds. These factors collectively pose significant challenges in leveraging MD simulations for comprehensive analysis and exploration of chemical and biological systems. In this thesis, I address these challenges by leveraging physics-inspired insights to learn unique, useful, and also meaningful low-dimensional representations of complex molecular systems. These representations enable effective analysis and interpretation of the vast amount of data generated from experiments and simulations. These representations have proven to be valuable in providing mechanistic insights into some fundamental problems within theoretical chemistry and biophysics, such as understanding the interplay between long-range and short-range forces in ion pair dissociation and the transformation of proteins from unstable random coils to structured forms. Furthermore, these physics-informed representations play a crucial role in enhancing MD simulations. They facilitate the construction of simplified kinetic models, enabling the generation of dynamical trajectories spanning significantly longer time scales than those accessible by conventional MD simulations. Additionally, they can serve as blueprints to guide the sampling process in combination with existing enhanced sampling methods. Through this thesis, I showcase how the synergy between physics and AI can advance our understanding of molecular systems and facilitate more efficient and insightful analysis in the fields of computational chemistry and biophysics.Item Study of Membrane Binding Proteins and Related Signaling Molecules(2023) Allsopp, Robert James; Klauda, Jeffery B; Chemical Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The membrane contact site theory is a critical theory to understanding lipid transport. The Osh protein is a yeast lipid transport protein theorized to form membrane contact sites. We investigated the contact site theory by identifying a second binding domain and studying the Osh Amphipathic Lipid Packing Sensor (ALPS) to explain better why each protein might target different organelles. The α6- α7 domain appears more charged and prefers lipids with oppositely charged inositol sugars, making it ideal for binding to the Trans Golgi Network (TGN) and the plasma membrane. The ALPS peptide is another dedicated binding domain bound in several membrane types with varied Phosphatidylcholines (PC) tails to vary the lipid packing. If the force field was valid, the results indicate that Osh4 ALPS prefers the loose packing of POPC, and Osh5 ALPS prefers the tighter packing of DMPC. More input from the wet lab is needed before researchers can make predictions from the force field. Another vital area of research is antimicrobial peptides (AMPs) that disrupt the membrane. Part of the dissertation focused on determining the dual placement of the AMPs on the surface and inserted into the membrane. For the first time, the membrane properties of bilayers with AMPs were studied, using the combination of all-atom simulation informed by x-ray scattering. The surface tension was a critical parameter that enabled us to compare the simulation to the wet lab results and became vital in allowing the peptide to be inserted into the membrane and remain stable. The 5-HT3A project simulated predicted structures of toxins with computational tools. Our work simulated these toxins for the first time, and we observed the unbiased binding of σ-GVIIIA conotoxin to the allosteric binding pocket. In the first trajectories, the ion channel pore remained closed, similar enough to the native apo crystal structure that water could form a partially water-filled channel for a few microseconds. In one example, the 5-HT3A had serotonin in all of the binding pockets for close to 1 µs. The long simulation of the conotoxin showed that the extracellular domain (ECD) was deformed by more than a nanometer compared to a control. This deformation was the first indication that such a conformation is possible and might be related to the presence of the toxin. Finally, traumatic brain injury was studied by identifying new molecules that activate fibroblast growth factor (FGF) and toll-like receptor (TLR) proteins. The focus on FGF resulted in identifying a critical conformational change and potential new binding sites (previously unknown) that activate FGF without activating damaging inflammatory TLR responses.