Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-1657| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Formalizing modularization and data hiding in synthetic biology |
| Authors: | Fellermann, Harold Krasnogor, Natalio Hadorn, Maik Füchslin, Rudolf Marcel |
| DOI: | 10.21256/zhaw-1657 10.1145/2667231 |
| Published in: | ACM Journal on Emerging Technologies in Computing Systems |
| Volume(Issue): | 11 |
| Issue: | 3/24 |
| Issue Date: | 2014 |
| Publisher / Ed. Institution: | Association for Computing Machinery |
| ISSN: | 1550-4832 |
| Language: | English |
| Subject (DDC): | 572: Biochemistry |
| Abstract: | Biological systems employ compartmentalization and other co-localization strategies in order to orchestrate a multitude of biochemical processes by simultaneously enabling “data hiding” and modularization. This article presents recent research that embraces compartmentalization and co-location as an organizational programmatic principle in synthetic biological and biomimetic systems. In these systems, artificial vesicles and synthetic minimal cells are envisioned as nanoscale reactors for programmable biochemical synthesis and as chassis for molecular information processing. We present P systems, brane calculi, and the recently developed chemtainer calculus as formal frameworks providing data hiding and modularization and thus enabling the representation of highly complicated hierarchically organized compartmentalized reaction systems. We demonstrate how compartmentalization can greatly reduce the complexity required to implement computational functionality, and how addressable compartments permit the scaling-up of programmable chemical synthesis. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/2712 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2014_Fellermann_Formalizing modularization and data hiding_ACM Journal of Emerging Technologies in Computing Systems.pdf | 9.15 MB | Adobe PDF |  View/Open |
Show full item record
Fellermann, H., Krasnogor, N., Hadorn, M., & Füchslin, R. M. (2014). Formalizing modularization and data hiding in synthetic biology. ACM Journal on Emerging Technologies in Computing Systems, 11(3/24). https://doi.org/10.21256/zhaw-1657
Fellermann, H. et al. (2014) ‘Formalizing modularization and data hiding in synthetic biology’, ACM Journal on Emerging Technologies in Computing Systems, 11(3/24). Available at: https://doi.org/10.21256/zhaw-1657.
H. Fellermann, N. Krasnogor, M. Hadorn, and R. M. Füchslin, “Formalizing modularization and data hiding in synthetic biology,” ACM Journal on Emerging Technologies in Computing Systems, vol. 11, no. 3/24, 2014, doi: 10.21256/zhaw-1657.
FELLERMANN, Harold, Natalio KRASNOGOR, Maik HADORN und Rudolf Marcel FÜCHSLIN, 2014. Formalizing modularization and data hiding in synthetic biology. ACM Journal on Emerging Technologies in Computing Systems. 2014. Bd. 11, Nr. 3/24. DOI 10.21256/zhaw-1657
Fellermann, Harold, Natalio Krasnogor, Maik Hadorn, and Rudolf Marcel Füchslin. 2014. “Formalizing Modularization and Data Hiding in Synthetic Biology.” ACM Journal on Emerging Technologies in Computing Systems 11 (3/24). https://doi.org/10.21256/zhaw-1657.
Fellermann, Harold, et al. “Formalizing Modularization and Data Hiding in Synthetic Biology.” ACM Journal on Emerging Technologies in Computing Systems, vol. 11, no. 3/24, 2014, https://doi.org/10.21256/zhaw-1657.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.