Analysis and design of molecular machines
- Submitting institution
-
Teesside University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4035170
- Type
- D - Journal article
- DOI
-
10.1016/j.tcs.2015.01.030
- Title of journal
- Theoretical Computer Science
- Article number
- -
- First page
- 102
- Volume
- 599
- Issue
- -
- ISSN
- 0304-3975
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We present a new framework for biologically inspired computation using metabolic networks and multi-objective optimality. We then propose a mapping between a living organism and the von Neumann architecture, where the metabolism executes reactions mapped to instructions of a Turing machine. The preliminary conference version of this work was presented at “Turing 100”, The Alan Turing Centenary Conference in Manchester (June 2012), where it won the best paper award. The theoretical architecture proposed in this paper was then presented at a public lecture held at the University of Cambridge (May 2014).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -