ASU Electronic Theses and Dissertations
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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- All Subjects: Biochemistry
drugs in basic research, biotechnology, diagnostics and therapeutics. However, due to the
cost, labor and time associated with production of antibodies focus has recently changed
towards potential of peptides to act as protein affinity reagents. Affinity peptides are easy
to work with, non-immunogenic, cost effective and amenable to scale up. Even though
researchers have developed several affinity peptides, we are far from compiling library of
peptides that encompasses entire human proteome. My thesis describes high throughput
pipeline that can be used to develop and characterize affinity peptides that bind several
discrete sites on target proteins.
Chapter 2 describes optimization of cell-free protein expression using commercially
available translation systems and well-known leader sequences. Presence of internal
ribosome entry site upstream of coding region allows maximal expression in HeLa cell
lysate whereas translation enhancing elements are best suited for expression in rabbit
reticulocyte lysate and wheat germ extract. Use of optimal vector and cell lysate
combination ensures maximum protein expression of DNA libraries.
Chapter 3 describes mRNA display selection methodology for developing affinity peptides
for target proteins using large diversity DNA libraries. I demonstrate that mild denaturant
is not sufficient to increase selection pressure for up to three rounds of selection and
increasing number of selection rounds increases probability of finding affinity peptide s.
These studies enhance fundamental understanding of mRNA display and pave the way
for future optimizations to accelerate convergence of in vitro selections.
Chapter 4 describes a high throughput double membrane dot blot system to rapidly
screen, identify and characterize affinity peptides obtained from selection output. I used
dot blot to screen potential affinity peptides from large diversity of previously
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uncharacterized mRNA display selection output. Further characterization of potential
peptides allowed determination of several high affinity peptides from having Kd range 150-
450 nM. Double membrane dot blot is automation amenable, easy and affordable solution
for analyzing selection output and characterizing peptides without ne ed for much
instrumentation.
Together these projects serve as guideline for evolution of cost effective high throughput
pipeline for identification and characterization of affinity peptides.
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.