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Molecular Computing with DNA Self-Assembly

dc.contributor.advisor Reif, John H
dc.contributor.advisor LaBean, Thomas H
dc.contributor.author Majumder, Urmi
dc.date.accessioned 2009-05-01T18:00:29Z
dc.date.available 2009-05-01T18:00:29Z
dc.date.issued 2009
dc.identifier.uri https://hdl.handle.net/10161/1057
dc.description.abstract <p>Synthetic biology is an emerging technology field whose goal is to use biology as a substrate for engineering. Self-assembly is one of the many methods for fabricating such synthetic biosystems.</p><p>Self-assembly is a process where components spontaneously arrange themselves into organized aggregates by the selective affinity of substructures. DNA is an excellent candidate for making synthetic biological systems using self-assembly because of its modular structure and simple chemistry. This thesis describes several</p><p>techniques which use DNA as a nano-construction material and</p><p>explores the computational capabilities of DNA self-assembly.</p><p>For this dissertation, I set out to build a biomolecular computing device with several</p><p>useful properties, including compactness, robustness, high degrees of complexity, flexibility, scalability and easily characterized yields</p><p>and convergence rates. However, a unified device that satisfies all these properties is still many years away. Instead, this thesis presents designs, simulations,</p><p>and experimental results for several distinct DNA nano-systems, as</p><p>well as experimental protocols, each of which satisfies a subset of the above-mentioned properties. The hope is that the lessons learned from building all these biomolecular computational devices would bring us closer to our ultimate goal and would eventually pave the path for a computing device that satisfies all the properties. We experimentally demonstrate how we can reduce errors in tiling assembly using an optimized set of physical parameters. We propose a novel DNA tile design</p><p>which enforces directionality of growth, reducing assembly errors. We build simulation models to characterize damage in fragile nanostructures under the impact of various external forces. Furthermore, we investigate reversible computation as a means to provide self-repairability to such damaged structures.</p><p>We suggest two modifications of an existing DNA computing device,</p><p>called Whiplash PCR machine, which allow it to operate robustly outside of controlled laboratory conditions and allow it to implement a simple form of inter-device communication. We present analysis techniques which characterize the yields and time convergence of self-assembled DNA nanostructures. We also present an experimental demonstration of a novel DNA nanostructure which is capable of tiling the plane and could prove to be a way of building 3D DNA assemblies.</p>
dc.format.extent 23164096 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject Computer Science
dc.subject Chemistry, Biochemistry
dc.subject DNA computation
dc.subject DNA self
dc.subject assembly
dc.subject molecular computing
dc.subject molecular self
dc.subject assembly
dc.title Molecular Computing with DNA Self-Assembly
dc.type Dissertation
dc.department Computer Science
duke.embargo.months 12
dc.date.accessible 2010-05-18T05:00:21Z


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