This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Description
Time-resolved serial femtosecond crystallography is an emerging method that allows for structural discovery to be performed on biomacromolecules during their dynamic trajectory through a reaction pathway after activation. This is performed by triggering a reaction on an ensemble of molecules in nano- or microcrystals and then using femtosecond X-ray

Time-resolved serial femtosecond crystallography is an emerging method that allows for structural discovery to be performed on biomacromolecules during their dynamic trajectory through a reaction pathway after activation. This is performed by triggering a reaction on an ensemble of molecules in nano- or microcrystals and then using femtosecond X-ray laser pulses produced by an X-ray free electron laser to collect near-instantaneous data on the crystal. A full data set can be collected by merging a sufficient number of these patterns together and multiple data sets can be collected at different points along the reaction pathway by manipulating the delay time between reaction initiation and the probing X-rays. In this way, these ‘snapshot’ structures can be viewed in series to make a molecular movie, allowing for atomic visualization of a molecule in action and, thereby, a structural basis for the mechanism and function of a given biomacromolecule.

This dissertation presents results towards this end, including the successful implementations of the first diffusive mixing chemoactivated reactions and ultrafast dynamics in the femtosecond regime. The primary focus is on photosynthetic membrane proteins and enzymatic drug targets, in pursuit of strategies for sustainable energy and medical advancement by gaining understanding of the structure-function relationships evolved in nature. In particular, photosystem I, photosystem II, the complex of photosystem I and ferredoxin, and 3-deoxy-D-manno-2-octulosonate-8-phosphate synthase are reported on, from purification and isolation, to crystallogenesis, to experimental design and data collection and subsequent interpretation of results and novel insights gained.
ContributorsCoe, Jesse (Author) / Fromme, Petra (Thesis advisor) / Sayres, Scott (Thesis advisor) / Mujica, Vladimiro (Committee member) / Redding, Kevin (Committee member) / Arizona State University (Publisher)
Created2018
Description
Due to analytical limitations, thermodynamic modeling is a lucrative alternative for obtaining metal speciation in chemically complex systems like life. However, such modeling is limited by the lack of equilibrium constant data for metal-complexation reactions, particularly for metal-organic species. These problems were ameliorated estimating these properties from 0-125°C for ~18,000

Due to analytical limitations, thermodynamic modeling is a lucrative alternative for obtaining metal speciation in chemically complex systems like life. However, such modeling is limited by the lack of equilibrium constant data for metal-complexation reactions, particularly for metal-organic species. These problems were ameliorated estimating these properties from 0-125°C for ~18,000 metal complexes of small molecules, proteins and peptides.

The estimates of metal-ligand equilibrium constants at 25°C and 1 bar were made using multiple linear free energy relationships in accordance with the metal-coordinating properties of ligands such as denticity, identity of electron donor group, inductive effects and steric hindrance. Analogous relationships were made to estimated metal-ligand complexation entropy that facilitated calculation of equilibrium constants up to 125°C using the van’t Hoff equation. These estimates were made for over 250 ligands that include carboxylic acids, phenols, inorganic acids, amino acids, peptides and proteins.

The stability constants mentioned above were used to obtain metal speciation in several microbial growth media including past bioavailability studies and compositions listed on the DSMZ website. Speciation calculations were also carried out for several metals in blood plasma and cerebrospinal fluid that include metals present at over micromolar abundance (sodium, potassium, calcium, magnesium, iron, copper and zinc) and metals of therapeutic or toxic potential (like gallium, rhodium and bismuth). Metal speciation was found to be considerably dependent on pH and chelator concentration that can help in the selection of appropriate ligands for gallium & rhodium based anticancer drugs and zinc-based antidiabetics. It was found that methanobactin can considerably alter copper speciation and is therefore a suitable agent for the treatment of Wilson Disease. Additionally, bismuth neurotoxicity was attributed to the low transferrin concentration in cerebrospinal fluid and the predominance of aqueous bismuth trihydroxide. These results demonstrate that metal speciation calculations using thermodynamic modeling can be extremely useful for understanding metal bioavailability in microbes and human bodily fluids.
ContributorsPrasad, Apar (Author) / Shock, Everett (Thesis advisor) / Trovitch, Ryan (Committee member) / Redding, Kevin (Committee member) / Arizona State University (Publisher)
Created2019