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The University of Texas at Austin

Computational prediction of allosteric nucleic acids

Abstract

dc:description.abstract

Selected nucleic acid binding species (aptamers) have been shown to undergo conformational changes in the presence of ligands, and have been adapted to function as biosensors. We were interested in whether the secondary structures of aptamers could be rationally engineered to undergo ligand dependent conformational changes. To this end, we used rational and computational design methods to generate a number of aptamer biosensors. First, we built upon previous work that showed that antisense oligonucleotides bearing reporter moieties could be used to denature aptamers. Upon addition of ligands, the conformational equilibrium is shifted towards release of the antisense oligonucleotide and a concomitant increase in fluorescence. We attempted to adapt this format to the potential detection of ricin, but were unsuccessful. In order to better evaluate rational designs, we attempted to use computational modeling methods. Again, aptamer biosensors have previously been engineered based on ligand-induced reorganization of secondary structure (as opposed to oligonucleotide displacement), a so-called 'slip-structure' model. We developed an algorithm to evaluate different lisp structures, predicted both aptamers and aptazymes that should have undergone ligand-dependent changes in conformation, and experimentally evaluated the computationally predicted sequences. A number of robust biosensors that could respond to the cytokine VegF and the small molecule flavin were discovered. The computational model was further adapted to an aptamer biosensor that underwent a larger conformational change upon ligand-binding, an antiswitch. In this model, binding of the ligand stabilizes one hairpin structure at the expense of a competing structure (as opposed to merely changing the register of the hairpin as in the previously described slip structure model). Again, we were able to computationally identify a number of antiswitches that upon synthesis were responsive to the ligand theophylline. Finally we again attempted to use rational design methods to optimize not just the degree of signal but also the kinetic performance of aptamer biosensors. To this end, we developed biosensors that signaled within seconds the presence of the coagulation protein thrombin.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Cell and Molecular Biology
Grantor
The University of Texas at Austin
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hall, Bradley, 1977-
Advisor dc:contributor.advisor
  • Ellington, Andrew D.

Rights

dc:rights
Statement dc:rights
  • Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Identifier
b70663117
OAI identifier oai:identifier
oai:repositories.lib.utexas.edu:2152/3898

Chain of custody

source
Harvested from
University of Texas
Base URL
repositories.lib.utexas.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Hall, Bradley, 1977-. Computational prediction of allosteric nucleic acids. Doctoral thesis, The University of Texas at Austin, 2008. http://hdl.handle.net/2152/3898