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- All Subjects: Proteins
- Creators: Ghirlanda, Giovanna
- Member of: Theses and Dissertations
Description
ABSTRACT
Post Translational Modifications (PTMs) are a series of chemical modifications with the capacity to expand the structural and functional repertoire of proteins. PTMs can regulate protein-protein interaction, localization, protein turn-over, the active state of the protein, and much more. This can dramatically affect cell processes as relevant as gene expression, cell-cell recognition, and cell signaling. Along these lines, this Ph.D. thesis examines the role of two of the most important PTMs: glycosylation and phosphorylation.
In chapters 2, 3 and 4, a 10,000 peptide microarray is used to analyze the glycan variations in a series lipopolysaccharides (LPS) from Gram negative bacteria. This research was the first to demonstrate that using a small subset of random sequence peptides, it was possible to identify a small subset with the capacity to bind to the LPS of bacteria. These peptides bound to LPS not only in the solid surface of the array but also in solution as demonstrated with surface plasmon resonance (SPR), isothermal titration calorimetry (ITC) and flow cytometry. Interestingly, some of the LPS binding peptides also exhibit antimicrobial activity, a property that is also analyzed in this work.
In chapters 5 and 6, the role of protein phosphorylation, another PTM, is analyzed in the context of human cancer. High risk neuroblastoma, a very aggressive pediatric cancer, was studied with emphasis on the phosphorylations of two selected oncoproteins: the transcription factor NMYC and the adaptor protein ShcC. Both proteins were isolated from high risk neuroblastoma cells, and a targeted-directed tandem mass spectrometry (LC-MS/MS) methodology was used to identify the phosphorylation sites in each protein. Using this method dramatically improved the phosphorylation site detection and increased the number of sites detected up to 250% in comparison with previous studies. Several of the novel identified sites were located in functional domain of the proteins and that some of them are homologous to known active sites in other proteins of the same family. The chapter concludes with a computational prediction of the kinases that potentially phosphorylate those sites and a series of assays to show this phosphorylation occurred in vitro.
Post Translational Modifications (PTMs) are a series of chemical modifications with the capacity to expand the structural and functional repertoire of proteins. PTMs can regulate protein-protein interaction, localization, protein turn-over, the active state of the protein, and much more. This can dramatically affect cell processes as relevant as gene expression, cell-cell recognition, and cell signaling. Along these lines, this Ph.D. thesis examines the role of two of the most important PTMs: glycosylation and phosphorylation.
In chapters 2, 3 and 4, a 10,000 peptide microarray is used to analyze the glycan variations in a series lipopolysaccharides (LPS) from Gram negative bacteria. This research was the first to demonstrate that using a small subset of random sequence peptides, it was possible to identify a small subset with the capacity to bind to the LPS of bacteria. These peptides bound to LPS not only in the solid surface of the array but also in solution as demonstrated with surface plasmon resonance (SPR), isothermal titration calorimetry (ITC) and flow cytometry. Interestingly, some of the LPS binding peptides also exhibit antimicrobial activity, a property that is also analyzed in this work.
In chapters 5 and 6, the role of protein phosphorylation, another PTM, is analyzed in the context of human cancer. High risk neuroblastoma, a very aggressive pediatric cancer, was studied with emphasis on the phosphorylations of two selected oncoproteins: the transcription factor NMYC and the adaptor protein ShcC. Both proteins were isolated from high risk neuroblastoma cells, and a targeted-directed tandem mass spectrometry (LC-MS/MS) methodology was used to identify the phosphorylation sites in each protein. Using this method dramatically improved the phosphorylation site detection and increased the number of sites detected up to 250% in comparison with previous studies. Several of the novel identified sites were located in functional domain of the proteins and that some of them are homologous to known active sites in other proteins of the same family. The chapter concludes with a computational prediction of the kinases that potentially phosphorylate those sites and a series of assays to show this phosphorylation occurred in vitro.
ContributorsMorales Betanzos, Carlos (Author) / LaBaer, Joshua (Thesis advisor) / Allen, James (Committee member) / Ghirlanda, Giovanna (Committee member) / Arizona State University (Publisher)
Created2014
Description
Natural hydrogenases catalyze the reduction of protons to molecular hydrogen reversibly under mild conditions; these enzymes have an unusual active site architecture, in which a diiron site is connected to a cubane type [4Fe-4S] cluster. Due to the relevance of this reaction to energy production, and in particular to sustainable fuel production, there have been substantial amount of research focused on developing biomimetic organometallic models. However, most of these organometallic complexes cannot revisit the structural and functional fine-tuning provided by the protein matrix as seen in the natural enzyme. The goal of this thesis is to build a protein based functional mimic of [Fe-Fe] hydrogenases. I used a 'retrosynthetic' approach that separates out two functional aspects of the natural enzyme. First, I built an artificial electron transfer domain by engineering two [4Fe-4S] cluster binding sites into an existing protein, DSD, which is a de novo designed domain swapped dimer. The resulting protein, DSD-bis[4Fe-4S], contains two clusters at a distance of 36 Å . I then varied distance between two clusters using vertical translation along the axis of the coiled coil; the resulting protein demonstrates efficient electron transfer to/from redox sites. Second, I built simple, functional artificial hydrogenases by using an artificial amino acid comprising a 1,3 dithiol moiety to anchor a biomimetic [Fe-Fe] active site within the protein scaffold Correct incorporation of the cluster into a model helical peptide was verified by UV-Vis, FTIR, ESI-MS and CD spectroscopy. This synthetic strategy is extended to the de novo design of more complex protein architectures, four-helix bundles that host the di-iron cluster within the hydrophobic core. In a separate approach, I developed a generalizable strategy to introduce organometallic catalytic sites into a protein scaffold. I introduced a biomimetic organometallic complex for proton reduction by covalent conjugation to biotin. The streptavidin-bound complex is significantly more efficient in photocatalytic hydrogen production than the catalyst alone. With these artificial proteins, it will be possible to explore the effect of second sphere interactions on the activity of the diiron center, and to include in the design properties such as compatibility with conductive materials and electrodes.
ContributorsRoy, Anindya (Author) / Ghirlanda, Giovanna (Thesis advisor) / Yan, Hao (Committee member) / Gust, Devens (Committee member) / Arizona State University (Publisher)
Created2014
Description
Increasing concentrations of carbon dioxide in the atmosphere will inevitably lead to long-term changes in climate that can have serious consequences. Controlling anthropogenic emission of carbon dioxide into the atmosphere, however, represents a significant technological challenge. Various chemical approaches have been suggested, perhaps the most promising of these is based on electrochemical trapping of carbon dioxide using pyridine and derivatives. Optimization of this process requires a detailed understanding of the mechanisms of the reactions of reduced pyridines with carbon dioxide, which are not currently well known. This thesis describes a detailed mechanistic study of the nucleophilic and Bronsted basic properties of the radical anion of bipyridine as a model pyridine derivative, formed by one-electron reduction, with particular emphasis on the reactions with carbon dioxide. A time-resolved spectroscopic method was used to characterize the key intermediates and determine the kinetics of the reactions of the radical anion and its protonated radical form. Using a pulsed nanosecond laser, the bipyridine radical anion could be generated in-situ in less than 100 ns, which allows fast reactions to be monitored in real time. The bipyridine radical anion was found to be a very powerful one-electron donor, Bronsted base and nucleophile. It reacts by addition to the C=O bonds of ketones with a bimolecular rate constant around 1* 107 M-1 s-1. These are among the fastest nucleophilic additions that have been reported in literature. Temperature dependence studies demonstrate very low activation energies and large Arrhenius pre-exponential parameters, consistent with very high reactivity. The kinetics of E2 elimination, where the radical anion acts as a base, and SN2 substitution, where the radical anion acts as a nucleophile, are also characterized by large bimolecular rate constants in the range ca. 106 - 107 M-1 s-1. The pKa of the bipyridine radical anion was measured using a kinetic method and analysis of the data using a Marcus theory model for proton transfer. The bipyridine radical anion is found to have a pKa of 40±5 in DMSO. The reorganization energy for the proton transfer reaction was found to be 70±5 kJ/mol. The bipyridine radical anion was found to react very rapidly with carbon dioxide, with a bimolecular rate constant of 1* 108 M-1 s-1 and a small activation energy, whereas the protonated radical reacted with carbon dioxide with a rate constant that was too small to measure. The kinetic and thermodynamic data obtained in this work can be used to understand the mechanisms of the reactions of pyridines with carbon dioxide under reducing conditions.
ContributorsRanjan, Rajeev (Author) / Gould, Ian R (Thesis advisor) / Buttry, Daniel A (Thesis advisor) / Yarger, Jeff (Committee member) / Seo, Dong-Kyun (Committee member) / Arizona State University (Publisher)
Created2015
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
Molecular docking serves as an important tool in modeling protein-ligand interactions. Most of the docking approaches treat the protein receptor as rigid and move the ligand in the binding pocket through an energy minimization, which is an incorrect approach as proteins are flexible and undergo conformational changes upon ligand binding. However, modeling receptor backbone flexibility in docking is challenging and computationally expensive due to the large conformational space that needs to be sampled.
A novel flexible docking approach called BP-Dock (Backbone Perturbation docking) was developed to overcome this challenge. BP-Dock integrates both backbone and side chain conformational changes of a protein through a multi-scale approach. In BP-Dock, the residues along a protein chain are perturbed mimicking the binding induced event, with a small Brownian kick, one at a time. The fluctuation response profile of the chain upon these perturbations is computed by Perturbation Response Scanning (PRS) to generate multiple receptor conformations for ensemble docking. To evaluate the performance of BP-Dock, this approach was applied to a large and diverse dataset of unbound structures as receptors. Furthermore, the protein-peptide docking of PICK1-PDZ proteins was investigated. This study elucidates the determinants of PICK1-PDZ binding that plays crucial roles in numerous neurodegenerative disorders. BP-Dock approach was also extended to the challenging problem of protein-glycan docking and applied to analyze the energetics of glycan recognition in Cyanovirin-N (CVN), a cyanobacterial lectin that inhibits HIV by binding to its highly glycosylated envelope protein gp120. This study provide the energetic contribution of the individual residues lining the binding pocket of CVN and explore the effect of structural flexibility in the hinge region of CVN on glycan binding, which are also verified experimentally. Overall, these successful applications of BP-Dock highlight the importance of modeling backbone flexibility in docking that can have important implications in defining the binding properties of protein-ligand interactions.
Finally, an induced fit docking approach called Adaptive BP-Dock is presented that allows both protein and ligand conformational sampling during the docking. Adaptive BP-Dock can provide a faster and efficient docking approach for the virtual screening of novel targets for rational drug design and aid our understanding of protein-ligand interactions.
A novel flexible docking approach called BP-Dock (Backbone Perturbation docking) was developed to overcome this challenge. BP-Dock integrates both backbone and side chain conformational changes of a protein through a multi-scale approach. In BP-Dock, the residues along a protein chain are perturbed mimicking the binding induced event, with a small Brownian kick, one at a time. The fluctuation response profile of the chain upon these perturbations is computed by Perturbation Response Scanning (PRS) to generate multiple receptor conformations for ensemble docking. To evaluate the performance of BP-Dock, this approach was applied to a large and diverse dataset of unbound structures as receptors. Furthermore, the protein-peptide docking of PICK1-PDZ proteins was investigated. This study elucidates the determinants of PICK1-PDZ binding that plays crucial roles in numerous neurodegenerative disorders. BP-Dock approach was also extended to the challenging problem of protein-glycan docking and applied to analyze the energetics of glycan recognition in Cyanovirin-N (CVN), a cyanobacterial lectin that inhibits HIV by binding to its highly glycosylated envelope protein gp120. This study provide the energetic contribution of the individual residues lining the binding pocket of CVN and explore the effect of structural flexibility in the hinge region of CVN on glycan binding, which are also verified experimentally. Overall, these successful applications of BP-Dock highlight the importance of modeling backbone flexibility in docking that can have important implications in defining the binding properties of protein-ligand interactions.
Finally, an induced fit docking approach called Adaptive BP-Dock is presented that allows both protein and ligand conformational sampling during the docking. Adaptive BP-Dock can provide a faster and efficient docking approach for the virtual screening of novel targets for rational drug design and aid our understanding of protein-ligand interactions.
ContributorsBolia, Ashini (Author) / Ozkan, Sefika Banu (Thesis advisor) / Ghirlanda, Giovanna (Thesis advisor) / Beckstein, Oliver (Committee member) / Wachter, Rebekka (Committee member) / Arizona State University (Publisher)
Created2015
Description
As prices for fuel along with the demand for renewable resources grow, it becomes of paramount importance to develop new ways of obtaining the energy needed to carry out the tasks we face daily. Costs of production due to energy and time constraints impose severe limitations on what is viable. Biological systems, on the other hand, are innately efficient both in terms of time and energy by handling tasks at the molecular level. Utilizing this efficiency is at the core of this research. Proper manipulation of even common proteins can render complexes functionalized for specific tasks. In this case, the coupling of a rhenium-based organometallic ligand to a modified myoglobin containing a zinc porphyrin, allow for efficient reduction of carbon dioxide, resulting in energy that can be harnessed and byproducts which can be used for further processing. Additionally, a rhenium based ligand functionalized via biotin is tested in conjunction with streptavidin and ruthenium-bipyridine.
ContributorsAllen, Jason Kenneth (Author) / Ghirlanda, Giovanna (Thesis director) / Francisco, Wilson (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor)
Created2014-12
Description
Microwave hydrolysis of egg-white lysozyme was optimized using 1H liquid-state nuclear magnetic resonance (NMR) spectroscopy experiments for amino acid analysis (AAA). Time held under microwave hydrolysis was arrayed for 2, 4, 6, 8, 10, and 15 minutes. Correlations from gCOSY 2D NMR experiments combined with 1H assignments in the one-dimensional chemical shift spectra identified 18 of the 20 amino acids found in lysozyme. Comparison with Uniprot database amino acid composition values revealed the optimal microwave hydrolysis time lies between 4 and 6 minutes. Identification of lysozyme was confirmed with the ExPASy online database search tool AACompIdent. The microwave hydrolysis procedure presented is a simple analytical technique allowing quick and reliable sample preparation in less than one hour that requires no separation or derivation of amino acids residues prior to detection.
ContributorsEdwards, Maximillian Ashur (Author) / Yarger, Jeff (Thesis director) / Marzke, Robert (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2015-05
Description
One of the greatest problems facing society today is the development of a
sustainable, carbon neutral energy source to curb the reliance on fossil fuel combustion as the primary source of energy. To overcome this challenge, research efforts have turned to biology for inspiration, as nature is adept at inter-converting low molecular weight precursors into complex molecules. A number of inorganic catalysts have been reported that mimic the active sites of energy-relevant enzymes such as hydrogenases and carbon monoxide dehydrogenase. However, these inorganic models fail to achieve the high activity of the enzymes, which function in aqueous systems, as they lack the critical secondary-shell interactions that enable the active site of enzymes to outperform their organometallic counterparts.
To address these challenges, my work utilizes bio-hybrid systems in which artificial proteins are used to modulate the properties of organometallic catalysts. This approach couples the diversity of organometallic function with the robust nature of protein biochemistry, aiming to utilize the protein scaffold to not only enhance rates of reaction, but also to control catalytic cycles and reaction outcomes. To this end, I have used chemical biology techniques to modify natural protein structures and augment the H2 producing ability of a cobalt-catalyst by a factor of five through simple mutagenesis. Concurrently I have designed and characterized a de novo peptide that incorporates various iron sulfur clusters at discrete distances from one another, facilitating electron transfer between the two. Finally, using computational methodologies I have engineered proteins to alter the specificity of a CO2 reduction reaction. The proteins systems developed herein allow for study of protein secondary-shell interactions during catalysis, and enable structure-function relationships to be built. The complete system will be interfaced with a solar fuel cell, accepting electrons from a photosensitized dye and storing energy in chemical bonds, such as H2 or methanol.
sustainable, carbon neutral energy source to curb the reliance on fossil fuel combustion as the primary source of energy. To overcome this challenge, research efforts have turned to biology for inspiration, as nature is adept at inter-converting low molecular weight precursors into complex molecules. A number of inorganic catalysts have been reported that mimic the active sites of energy-relevant enzymes such as hydrogenases and carbon monoxide dehydrogenase. However, these inorganic models fail to achieve the high activity of the enzymes, which function in aqueous systems, as they lack the critical secondary-shell interactions that enable the active site of enzymes to outperform their organometallic counterparts.
To address these challenges, my work utilizes bio-hybrid systems in which artificial proteins are used to modulate the properties of organometallic catalysts. This approach couples the diversity of organometallic function with the robust nature of protein biochemistry, aiming to utilize the protein scaffold to not only enhance rates of reaction, but also to control catalytic cycles and reaction outcomes. To this end, I have used chemical biology techniques to modify natural protein structures and augment the H2 producing ability of a cobalt-catalyst by a factor of five through simple mutagenesis. Concurrently I have designed and characterized a de novo peptide that incorporates various iron sulfur clusters at discrete distances from one another, facilitating electron transfer between the two. Finally, using computational methodologies I have engineered proteins to alter the specificity of a CO2 reduction reaction. The proteins systems developed herein allow for study of protein secondary-shell interactions during catalysis, and enable structure-function relationships to be built. The complete system will be interfaced with a solar fuel cell, accepting electrons from a photosensitized dye and storing energy in chemical bonds, such as H2 or methanol.
ContributorsSommer, Dayn (Author) / Ghirlanda, Giovanna (Thesis advisor) / Redding, Kevin (Committee member) / Moore, Gary (Committee member) / Arizona State University (Publisher)
Created2016
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