Functional Synthetic Biology

Review (2023)
Author(s)

Ibrahim Aldulijan (Stevens Institute of Technology)

Jacob Beal (Intelligent Software & Systems, Raytheon BBN Technologies, Cambridge)

Sonja Billerbeck (Rijksuniversiteit Groningen)

Jeff Bouffard (Concordia University)

Gaël Chambonnier (Massachusetts Institute of Technology)

Nikolaos Ntelkis (Universiteit Gent)

Isaac Guerreiro (iGEM Foundation, Cambridge)

Martin Holub (TU Delft - BN/Cees Dekker Lab)

Paul Ross (BioStrat Marketing, Boynton Beach)

More Authors (External organisation)

BN/Cees Dekker Lab
Copyright
© 2023 Ibrahim Aldulijan, Jacob Beal, Sonja Billerbeck, Jeff Bouffard, Gaël Chambonnier, Nikolaos Ntelkis, Isaac Guerreiro, M. Holub, Paul Ross, More Authors
DOI related publication
https://doi.org/10.1093/synbio/ysad006
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Ibrahim Aldulijan, Jacob Beal, Sonja Billerbeck, Jeff Bouffard, Gaël Chambonnier, Nikolaos Ntelkis, Isaac Guerreiro, M. Holub, Paul Ross, More Authors
BN/Cees Dekker Lab
Issue number
1
Volume number
8
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Abstract

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.