ETDs

This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

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Exploring the Sequence vs. Binding Relationships for Monoclonal Antibodies and Other Proteins

Description
Molecular recognition forms the basis of all protein interactions, and therefore is crucial for maintaining biological functions and pathways. It can be governed by many factors, but in case of proteins and peptides, the amino acids sequences of the interacting entities play a huge role. It is molecular recognition that…

Molecular recognition forms the basis of all protein interactions, and therefore is crucial for maintaining biological functions and pathways. It can be governed by many factors, but in case of proteins and peptides, the amino acids sequences of the interacting entities play a huge role. It is molecular recognition that helps a protein identify the correct sequences residues necessary for an interaction, among the vast number of possibilities from the combinatorial sequence space. Therefore, it is fundamental to study how the interacting amino acid sequences define the molecular interactions of proteins. In this work, sparsely sampled peptide sequences from the combinatorial sequence space were used to study the molecular recognition observed in proteins, especially monoclonal antibodies. A machine learning based approach was used to study the molecular recognition characteristics of 11 monoclonal antibodies, where a neural network (NN) was trained on data from protein binding experiments performed on high-throughput random-sequence peptide microarrays. The use of random-sequence microarrays allowed for the peptides to be sparsely sampled from sequence space. Post-training, a sequence vs. binding relationship was deduced by the NN, for each antibody. This in silico relationship was then extended to larger libraries of random peptides, as well as to the biologically relevant sequences (target antigens, and proteomes). The NN models performed well in predicting the pertinent interactions for 6 out of the 11 monoclonal antibodies, in all aspects. The interactions of the other five monoclonal antibodies could not be predicted well by the models, due to their poor recognition of the residues that were omitted from the array. Furthermore, NN predicted sequence vs. binding relationships for 3 other proteins were experimentally probed using surface plasmon resonance (SPR). This was done to explore the relationship between the observed and predicted binding to the arrays and the observed binding on different assay platforms. It was noted that there was a general motif dependent correlation between predicted and SPR-measured binding. This study also indicated that a combined reiterative approach using in silico and in vitro techniques is a powerful tool for optimizing the selectivity of the protein-binding peptides.
ContributorsBisarad, Pritha (Author) / Woodbury, Neal W (Thesis advisor) / Green, Alexander A (Committee member) / Stephanopoulos, Nicholas (Committee member) / Arizona State University (Publisher)
Created2022
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Biocatalytic Halocyclization of Amides Enables By Vanadium Haloperoxidases

Description
Marine algae are a rich source of bioactive halogenated natural products. Thepresence of these marine natural products has largely been attributed to their biosynthesis by organisms in these environments through a variety of different halogenation mechanisms. One of the key contributors in these halogenation processes are from the vanadium haloperoxidases (VHPOs) class of…

Marine algae are a rich source of bioactive halogenated natural products. Thepresence of these marine natural products has largely been attributed to their biosynthesis by organisms in these environments through a variety of different halogenation mechanisms. One of the key contributors in these halogenation processes are from the vanadium haloperoxidases (VHPOs) class of enzymes. VHPOs perform an electrophilic halogenation through the oxidation of halide ions with hydrogen peroxide as the terminal oxidant. This technique produces an electrophilic halide equivalent that can directly halogenate organic substrates. Despite the numerous known reaction capabilities of this enzyme class, their construction of intramolecular ring formation between a carbon and nitrogen atom has remained unreported. Herein, this study presents a development of a ‘new to nature’ chemical reaction for lactam synthesis. In pursuit of this type of reaction, it was discovered that wild type VHPOs (e.g., Curvularia inaequalis, Corallina officinalis, Corallina pilulifera, Acaryochloria marina) produce halogenated iminolactone compounds from acyclic amides in excellent yields and selectivity greater than 99 percent yield. The extension to chlorocyclizations will also be discussed.
ContributorsMerker, Kayla Rose (Author) / Biegasiewicz, Kyle (Thesis advisor) / Ackerman-Biegasiewicz, Laura (Committee member) / Mills, Jeremy (Committee member) / Arizona State University (Publisher)
Created2022