Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published 2004 | Submitted
Book Section - Chapter Open

Proofreading tile sets: Error correction for algorithmic self-assembly

Abstract

For robust molecular implementation of tile-based algorithmic self-assembly, methods for reducing errors must be developed. Previous studies suggested that by control of physical conditions, such as temperature and the concentration of tiles, errors (ε) can be reduced to an arbitrarily low rate - but at the cost of reduced speed (r) for the self-assembly process. For tile sets directly implementing blocked cellular automata, it was shown that r ≈ βε^2 was optimal. Here, we show that an improved construction, which we refer to as proofreading tile sets, can in principle exploit the cooperativity of tile assembly reactions to dramatically improve the scaling behavior to r ≈ βε and better. This suggests that existing DNA-based molecular tile approaches may be improved to produce macroscopic algorithmic crystals with few errors. Generalizations and limitations of the proofreading tile set construction are discussed.

Additional Information

© 2004 Springer-Verlag Berlin Heidelberg. This work benefited from discussions with Leonard Adleman, Matthew Cook, Ashish Gael, Paul Rothemund, Rebecca Schulman, Georg Seelig, David Soloveichik, and Chris Umans. Thanks to John Reif for encouraging me to write this up and for sharing his unpublished manuscript. EW and RB were supported by NSF CAREER Grant No. 0093486, DARPA BioComputation Contract F30602-01-2-0561, NASA NRA2-37143, and GenTel. Simulation code and tile sets used in this paper, as well as MATLAB scripts for evaluating the kinetic trapping models, may be obtained from http://www .dna.caltech.edu/SupplementaryMaterial.

Attached Files

Submitted - proofreading_DNA9_preprint.pdf

Files

proofreading_DNA9_preprint.pdf
Files (2.0 MB)
Name Size Download all
md5:a08808b6613fcca92acf7a22a5a52c16
2.0 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
January 13, 2024