Citation
Austin, Ryan James (2007) Solving Molecular Recognition Problems with Evolvable Peptide Motifs. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/H8BY-M951. https://resolver.caltech.edu/CaltechETD:etd-05072007-135522
Abstract
Specific protein-nucleic acid and protein-protein recognition events are frequently mediated through the flexible binding surfaces of these polymers. The functional plasticity and sequence conservation of these surfaces suggests that they are highly evolvable molecular recognition sites. It may therefore be possible to develop discriminate ligands for many protein and nucleic acid targets by directed evolution of consensus ligand scaffolds or motifs. Here we review and present work on the development and use of peptide motifs to evolve high-specificity ligands toward flexible RNA-hairpin and G protein targets. The evolvabilities of these motifs and the compact arrangement of specificity-determining elements in selected sequences, demonstrate the economy of motif-based directed evolution approaches.
Item Type: | Thesis (Dissertation (Ph.D.)) |
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Subject Keywords: | boxB; evolvability; G protein; molecular recognition; mRNA display; peptide |
Degree Grantor: | California Institute of Technology |
Division: | Chemistry and Chemical Engineering |
Major Option: | Biochemistry and Molecular Biophysics |
Thesis Availability: | Public (worldwide access) |
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Defense Date: | 23 April 2007 |
Record Number: | CaltechETD:etd-05072007-135522 |
Persistent URL: | https://resolver.caltech.edu/CaltechETD:etd-05072007-135522 |
DOI: | 10.7907/H8BY-M951 |
Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
ID Code: | 1660 |
Collection: | CaltechTHESIS |
Deposited By: | Imported from ETD-db |
Deposited On: | 17 May 2007 |
Last Modified: | 26 Feb 2020 23:59 |
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