Matching Items (7)
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- All Subjects: Proteins
- Creators: School of Molecular Sciences
- Creators: Matyushov, Dmitry
- Member of: Theses and Dissertations
- Resource Type: Text
- Status: Published
Description
The properties of materials depend heavily on the spatial distribution and connectivity of their constituent parts. This applies equally to materials such as diamond and glasses as it does to biomolecules that are the product of billions of years of evolution. In science, insight is often gained through simple models with characteristics that are the result of the few features that have purposely been retained. Common to all research within in this thesis is the use of network-based models to describe the properties of materials. This work begins with the description of a technique for decoupling boundary effects from intrinsic properties of nanomaterials that maps the atomic distribution of nanomaterials of diverse shape and size but common atomic geometry onto a universal curve. This is followed by an investigation of correlated density fluctuations in the large length scale limit in amorphous materials through the analysis of large continuous random network models. The difficulty of estimating this limit from finite models is overcome by the development of a technique that uses the variance in the number of atoms in finite subregions to perform the extrapolation to large length scales. The technique is applied to models of amorphous silicon and vitreous silica and compared with results from recent experiments. The latter part this work applies network-based models to biological systems. The first application models force-induced protein unfolding as crack propagation on a constraint network consisting of interactions such as hydrogen bonds that cross-link and stabilize a folded polypeptide chain. Unfolding pathways generated by the model are compared with molecular dynamics simulation and experiment for a diverse set of proteins, demonstrating that the model is able to capture not only native state behavior but also partially unfolded intermediates far from the native state. This study concludes with the extension of the latter model in the development of an efficient algorithm for predicting protein structure through the flexible fitting of atomic models to low-resolution cryo-electron microscopy data. By optimizing the fit to synthetic data through directed sampling and context-dependent constraint removal, predictions are made with accuracies within the expected variability of the native state.
ContributorsDe Graff, Adam (Author) / Thorpe, Michael F. (Thesis advisor) / Ghirlanda, Giovanna (Committee member) / Matyushov, Dmitry (Committee member) / Ozkan, Sefika B. (Committee member) / Treacy, Michael M. J. (Committee member) / Arizona State University (Publisher)
Created2011
Description
Integrin is a protein in cells that manage cell adhesion. They are crucial to the biochemical functions of cells. L 2 is one type of integrin. Its I domain is responsible for ligand binding. Scientists understand how Alpha L I domain binds Mg2+ at a pH of 7 but not in acidic environments. Knowing the specificity of integrin at a lower pH is important because when tissues become inflamed, they release acidic compounds. We have cloned, expressed, and purified L I-domain and using NMR analysis, we determined that wild type Alpha L I domain does not bind to Mg2+ at a pH of 5.
ContributorsALAM, RAHAT (Author) / Wang, Xu (Thesis director) / Podolnikova, Nataly (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
While DNA and protein nanotechnologies are promising avenues for nanotechnology on their own, merging the two could create more diverse and functional structures. In order to create hybrid structures, the protein will have to undergo site-specific modification, such as the incorporation of an unnatural amino, p-azidophenylalanine (AzF), via Shultz amber codon suppression method, which can then participate in click chemistry with modified DNA. These newly synthesized structures will then be able to self-assemble into higher order structures. Thus far, a surface exposed residue on the aldolase protein has been mutated into an amber stop codon. The next steps are to express the protein with the unnatural amino acid, allow it to participate in click chemistry, and visualize the hybrid structure. If the structure is correct, it will be able to self-assemble.
ContributorsAziz, Ann-Marie (Author) / Stephanopoulos, Nicholas (Thesis director) / Mills, Jeremy (Committee member) / School of Social Transformation (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Gle1 is an mRNP export mediator with major activity localized to the nuclear pore complex in eukaryotic cells. The protein's high preservation across vast phylogenetic distances allows us to approximate research on the properties of yeast Gle1 (yGle1) with those of human Gle1 (hGle1). Research at Vanderbilt University in 2016, which provides the research basis of this thesis, suggests that the coiled-coil domain of yGle1 is best crystallized in dicationic aqueous conditions of pH ~8.0 and 10\u201420% PEG 8000. Further exploration of crystallizable microconditions revealed a favorability toward lower pH and lower PEG concentration. Following the discovery of the protein's native crystallography conditions, a comprehensive meta-analysis of scientific literature on Gle1 was conducted on the association of Gle1 mutations with neuron disease.
ContributorsGaetano, Philip Pasquale (Author) / Foy, Joseph (Thesis director) / Dawson, T. Renee (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Barnase-Barstar is a protein complex that has a strong association constant. The purpose of this research is to investigate the effects of conformational fluctuations on protein-water interactions, resulting water-mediated interactions, and the binding free energy of the protein complex. Using all-atom molecular dynamics simulations, the sets of simulations for flexible and rigid proteins to identify the effects on water-mediated interactions were prepared for analysis. To analyze the properties and interactions that result in the strong association of the Barnase-Barstar protein complex, the molecular dynamics simulations were prepared. A thorough review of the GROMACS manual and completion of the GROMACS Lysozyme in Water tutorial was completed to understand the steps and commands to write and run molecular dynamics simulations. The preliminary data investigated the impact of water-mediated interactions on the solvation free energy in the Barnase-Barstar protein complex where the proteins are kept rigid. This was achieved by observing the change in solvation free energy with respect to separation distance. From the data obtained, it is concluded that solvent-mediated interactions do not contribute to the negative binding free energy. With increasing separation distance, the change in solvation free energy decreased. Therefore, thermodynamically, water-mediated interactions destabilize the protein complex, while the binding free energy is dominated by direct protein-protein interactions. The follow-up simulations of flexible proteins with controlled protein-protein separation distances, for which a fully automated simulation and analysis protocol has been prepared in this project, will allow us to quantify the impact of conformational fluctuations on water-mediated interactions and the binding free energy of the protein complex by comparison to the simulations of rigid proteins.
ContributorsJoshi, Mansi (Author) / Heyden, Matthias (Thesis director) / Sulc, Petr (Committee member) / Singharoy, Abhishek (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2022-05
Description
Non-canonical amino acids (NCAAs) can be used in protein chemistry to determine their structures. A common method for imaging proteins is cryo-electron microscopy (cryo-EM) which is ideal for imaging proteins that cannot be obtained in large quantities. Proteins with indistinguishable features are difficult to image using this method due to the large size requirements, therefore antibodies designed specifically for binding these proteins have been utilized to better identify the proteins. By using an existing antibody that binds to stilbene, NCAAs containing this molecule can be used as a linker between proteins and an antibody. Stilbene containing amino acids can be integrated into proteins to make this process more access able. In this paper, synthesis methods for various NCAAs containing stilbene were proposed. The resulting successfully synthesized NCAAs were E)-N6-(5-oxo-5-((4-styrylphenyl) amino) pentanoyl) lysine, (R,E)-2-amino-3-(5-oxo-5-((4-styrylphenyl)amino)pentanamido)propanoic acid, (E)-2-amino-5-(5-oxo-5-((4-styrylphenyl) amino) pentanamido) pentanoic acid. A synthesis for three more shorter amino acids, (R,E)-2-amino-3-(3-oxo-3-((4-styrylphenyl) amino) propanamido) propanoic acid, (E)-2-amino-5-(3-oxo-3-((4-styrylphenyl) amino) propanamido) pentanoic acid, and (E)-N6-(3-oxo-3-((4-styrylphenyl) amino) propanoyl) lysine, is also proposed.
ContributorsJenkins, Bryll (Author) / Mills, Jeremy (Thesis director) / Ghirlanda, Giovanna (Committee member) / Nannenga, Brent (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2022-05
Description
The relation between water and protein physics is a topic of much interest. Molecular dynamics (MD) simulations of biomolecules are a common computational technique to obtain atomistic insight into the physical behavior of biomolecules, including the nature of the interaction between water and the protein. In order to model biomolecules at the highest level of accuracy, an explicit, atomistic representation of the water is typically necessary. The number of water molecules that need to be simulated is normally on the order of thousands. The high dimensional MD dataset is then expanded with considerably more dimensions. We describe here a set of tools which can be used to extract general features of the water behavior, which can then be utilized to build simplified models of the water kinetics which make quantitative predictions, such as the flux rate through a pore.
ContributorsWelland, Ian (Author) / Beckstein, Oliver (Committee member) / Matyushov, Dmitry (Committee member) / Barrett, The Honors College (Contributor)
Created2015-12