| Keyword search (4,164 papers available) | ![]() |
"synthetic biology" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Benzylisoquinoline Alkaloid Production in Yeast via Norlaudanosoline Improves Titer, Selectivity, and Yield | Narcross L; Pyne ME; Kevvai K; Siu KH; Dueber JE; Martin VJJ; | 41779670 BIOLOGY |
| 2 | A Bacteroides synthetic biology toolkit to build an in vivo malabsorption biosensor | McCallum G; Burckhardt JC; He J; Hong A; Potvin-Trottier L; Tropini C; | 41610848 BIOLOGY |
| 3 | Robustness and evolvability: Revisited, redefined and applied | Kharma N; Bédard-Couture R; | 39098381 ENCS |
| 4 | BioCloneBot: A versatile, low-cost, and open-source automated liquid handler | Wells KC; Kharma N; Jaunky BB; Nie K; Aguiar-Tawil G; Berry D; | 38524156 BIOLOGY |
| 5 | Functional Synthetic Biology | Aldulijan I; Beal J; Billerbeck S; Bouffard J; Chambonnier G; Ntelkis N; Guerreiro I; Holub M; Ross P; Selvarajah V; Sprent N; Vidal G; Vignoni A; | 37073284 BIOLOGY |
| 6 | Advancing Undergraduate Synthetic Biology Education: Insights from a Canadian iGEM Student Perspective | Diep P; Boucinha A; Kell BJ; Yeung BA; Chen XA; Tsyplenkov D; Serra D; Escobar A; Gnanapragasam A; Emond CA; Sajtovich VA; Mahadevan R; Kilkenny DM; Gini-Newman G; Kaern M; Ingalls B; | 34237221 BIOLOGY |
| 7 | Using Models to (Re-)Design Synthetic Circuits. | McCallum G, Potvin-Trottier L | 33405217 BIOLOGY |
| 8 | Computer-Aided Design of Active Pseudoknotted Hammerhead Ribozymes. | Najeh S, Zandi K, Djerroud S, Kharma N, Perreault J | 32712917 ENCS |
| 9 | Reconstituting Plant Secondary Metabolism in Saccharomyces cerevisiae for Production of High-Value Benzylisoquinoline Alkaloids. | Pyne ME, Narcross L, Fossati E, Bourgeois L, Burton E, Gold ND, Martin VJ | 27417930 CSFG |
| Title: | Functional Synthetic Biology | ||||
| Authors: | Aldulijan I, Beal J, Billerbeck S, Bouffard J, Chambonnier G, Ntelkis N, Guerreiro I, Holub M, Ross P, Selvarajah V, Sprent N, Vidal G, Vignoni A | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/37073284/ | ||||
| DOI: | 10.1093/synbio/ysad006 | ||||
| Publication: | Synthetic biology (Oxford, England) | ||||
| Keywords: | Collaboration; Design; Engineering; Reproducibility; Synthetic Biology; | ||||
| PMID: | 37073284 | Category: | Date Added: | 2023-04-19 | |
| Dept Affiliation: |
BIOLOGY
1 Systems Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, 07030, NJ, USA. 2 Intelligent Software & Systems, Raytheon BBN Technologies, 10 Moulton Street, Cambridge, 02138, MA, USA. 3 Molecular Microbiology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands. 4 Centre for Applied Synthetic Biology, and Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montréal, H4B 1R6, Québec, Canada. 5 Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA. 6 Specialized Metabolism research group, Center for Plant Systems Biology, VIB-Ghent University, Technologiepark 71, Zwijnaarde, 9052, Belgium. 7 iGEM Foundation, 45 Prospect Street, Cambridge, 02139, MA, USA. 8 Delft University of |
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Description: |
Synthetic biologists have made great progress over the past decade in developing methods for modular assembly of genetic sequences and in engineering biological systems with a wide variety of functions in various contexts and organisms. However, current paradigms in the field entangle sequence and functionality in a manner that makes abstraction difficult, reduces engineering flexibility and impairs predictability and design reuse. Functional Synthetic Biology aims to overcome these impediments by focusing the design of biological systems on function, rather than on sequence. This reorientation will decouple the engineering of biological devices from the specifics of how those devices are put to use, requiring both conceptual and organizational change, as well as supporting software tooling. Realizing this vision of Functional Synthetic Biology will allow more flexibility in how devices are used, more opportunity for reuse of devices and data, improvements in predictability and reductions in technical risk and cost. |



