Published June 21, 2017 | Version public
Journal Article

Physical principles for DNA tile self-assembly

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Bioengineering (Switzerland)

Abstract

DNA tiles provide a promising technique for assembling structures with nanoscale resolution through self-assembly by basic interactions rather than top-down assembly of individual structures. Tile systems can be programmed to grow based on logical rules, allowing for a small number of tile types to assemble large, complex assemblies that can retain nanoscale resolution. Such algorithmic systems can even assemble different structures using the same tiles, based on inputs that seed the growth. While programming and theoretical analysis of tile self-assembly often makes use of abstract logical models of growth, experimentally implemented systems are governed by nanoscale physical processes that can lead to very different behavior, more accurately modeled by taking into account the thermodynamics and kinetics of tile attachment and detachment in solution. This review discusses the relationships between more abstract and more physically realistic tile assembly models. A central concern is how consideration of model differences enables the design of tile systems that robustly exhibit the desired abstract behavior in realistic physical models and in experimental implementations. Conversely, we identify situations where self-assembly in abstract models can not be well-approximated by physically realistic models, putting constraints on physical relevance of the abstract models. To facilitate the discussion, we introduce a unified model of tile self-assembly that clarifies the relationships between several well-studied models in the literature. Throughout, we highlight open questions regarding the physical principles for DNA tile self-assembly.

Additional Information

© 2017 The Royal Society of Chemistry. Received 15th October 2016; First published on 10th May 2017. This work was partially supported by National Science Foundation awards 0832824, 1162589, and 1317694.

Additional details

Identifiers

Eprint ID
77444
Resolver ID
CaltechAUTHORS:20170515-101843093

Funding

NSF
CCF-0832824
NSF
CCF-1162589
NSF
CCF-1317694

Dates

Created
2017-05-15
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field