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Thesis

Design and modular self-assembly of nanostructures

Abstract:

As nucleic acid nanostructures grow larger and more complex, new tools and methods are needed to facilitate their design. DNA origami structures, for example, are limited by the lengths of their scaffolds but larger assemblies can be bound together by interactions between multiple components. This thesis presents two projects, each approaching the design of such modular structures at a different level of abstraction.

Project 1 presents the polycube self-assembly model, where building blocks assemble stochastically using bindings between complementary patches. The assembly of both 2D polyominoes, as well as 3D polycubes, is considered. First, the mapping between input rules (defining the set of available species) and output shapes is investigated, revealing a clear bias toward low--complexity structures. Frequent shapes also tend to be highly modular and symmetric. Secondly, the reversed mapping is explored, presenting a method to find the minimal rule that assembles a specified output shape. Differences in assembly kinetics between possible solutions are investigated using patchy particle simulations, showing that minimal rules can assemble as well as fully addressable rules.

Project 2 presents a more detailed approach to the design of modular structures and individual modules: the oxView toolkit for the design, analysis, and visualisation of DNA, RNA and protein nanostructures. While many other design tools exist, oxView makes it easy to import and connect their designs into complete assemblies. Furthermore, oxView allows for free-form editing and rigid-body manipulation. Designs can then be interactively simulated using the oxDNA model, providing a more intuitive understanding of the resulting dynamics.

In conclusion, the design of self-assembling nucleic acid nanostructures has been investigated on both an abstract and a more detailed level. The presented projects have resulted in tools and methods for creating, simulating and analysing modular structures with minimal complexity, potentially containing building blocks created in multiple design software.

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Division:
MPLS
Department:
Physics
Sub department:
Condensed Matter Physics
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0002-3098-4034

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Supervisor
ORCID:
0000-0002-3876-0190
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Supervisor
ORCID:
0000-0002-8438-910X
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Examiner
ORCID:
0000-0002-8705-8488
Institution:
University of Bergen
Role:
Examiner


More from this funder
Funder identifier:
http://dx.doi.org/10.13039/501100000780
Grant:
765703
Programme:
DNA-robotics. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765703


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Deposit date:
2023-02-16

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