A Modelling and Simulation Tool for DNA Strand Displacement Systems

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorGautam, Vinay
dc.contributor.authorLong, Shiting
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorOrponen, Pekka
dc.date.accessioned2020-06-21T17:05:13Z
dc.date.available2020-06-21T17:05:13Z
dc.date.issued2020-06-16
dc.description.abstractDNA is the hereditary material in almost all organisms, and the sequence of its monomers efficiently conveys essential biological information. Although DNA is well known for its biological functions, the unique material properties of DNA also motivate scientists to design and manufacture DNA complexes for technological purposes. This research field is termed DNA nanotechnology, and it aims to construct arbitrary biomolecular structures using DNA molecules as building blocks. DNA nanotechnology initially focused on programmable static structures, but it has further inspired the designs of engineering systems with dynamic properties such as logic circuits and catalytic systems. This dynamic variant of DNA nanotechnology is enabled by the DNA strand displacement (DSD) mechanism. The design of a DSD system involves discreetly designed initial species that can execute expected sequential reactions. However, such task is hard to be accomplished by hand as the complete reaction network of a large-scaled DSD system can be intractable. In this thesis, we study the problem of modelling DSD systems, i.e., enumerating combinatorially the full space of molecular complexes reachable from the initial species and transferring the resulting chemical reaction network to a simulation engine. We present a rule-based modelling pipeline RuleDSD for generating and simulating reaction networks of DSD systems. RuleDSD is implemented as a software package DSDPy, a tool that automatically generates a complete reaction network for a described DSD system and integrates with the PySB framework for further simulations using the BioNetGen engine. The reaction networks produced by DSDPy show that it is suitable for modelling various DSD systems from existing literature.en
dc.format.extent63+7
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/44968
dc.identifier.urnURN:NBN:fi:aalto-202006213925
dc.language.isoenen
dc.programmeMaster’s Programme in Security and Cloud Computing (SECCLO)fi
dc.programme.majorSecurity and Cloud Computingen
dc.programme.mcodeSCI3084fi
dc.subject.keywordDNA nanotechnologyen
dc.subject.keywordDNA strand displacementen
dc.subject.keywordrule-based modellingen
dc.subject.keywordDSD modelling and simulationen
dc.subject.keywordPySBen
dc.subject.keywordBioNetGenen
dc.titleA Modelling and Simulation Tool for DNA Strand Displacement Systemsen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessyes
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