Published September 2014
| Version public
Book Section - Chapter
Parallel and Scalable Computation and Spatial Dynamics with DNA-Based Chemical Reaction Networks on a Surface
Contributors
Others:
Abstract
We propose a theoretical framework that uses a novel DNA strand displacement mechanism to implement abstract chemical reaction networks (CRNs) on the surface of a DNA nanostructure, and show that surface CRNs can perform efficient algorithmic computation and create complex spatial dynamics. We argue that programming molecular behaviors with surface CRNs is systematic, parallel and scalable.
Additional Information
© 2014 Springer International Publishing Switzerland. We thank Ho-Lin Chen and David Yu Zhang for insightful discussions and suggestions. LQ and EW were supported by the Molecular Programming Project under NSF expedition in computing (0832824 and 1317694). LQ was supported by a Career Award at the Scientific Interface from the Burroughs Wellcome Fund (1010684), a Faculty Early Career Development Award from NSF (1351081), and a Okawa Foundation Research Grant (0656180).Additional details
Identifiers
- Eprint ID
- 79192
- Resolver ID
- CaltechAUTHORS:20170719-084200345
Funding
- NSF
- CCF-0832824
- NSF
- CCF-1317694
- Burroughs Wellcome Fund
- 1010684
- NSF
- CCF-1351081
- Okawa Foundation
- 0656180
Dates
- Created
-
2017-07-19Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field
Caltech Custom Metadata
- Series Name
- Lecture Notes in Computer Science
- Series Volume or Issue Number
- 8727