Evidence map›Paper›PMID 37073284›Full record

ReviewSynthetic biology (Oxford, England)2023

Functional Synthetic Biology.

Ibrahim Aldulijan, Jacob Beal, Sonja Billerbeck, Jeff Bouffard, Gaël Chambonnier, Nikolaos Ntelkis, Isaac Guerreiro, Martin Holub, Paul Ross, Vinoo Selvarajah and 3 more

Abstract readReview
In one paragraph

Review in Synthetic biology (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. GoldenBraid2.0Synthetic biology (Oxford, England) · 2025
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ibrahim AldulijanSystems Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, 07030, NJ, USA.ORCID https://orcid.org/0000-0001-7332-619X
Jacob BealIntelligent Software & Systems, Raytheon BBN Technologies, 10 Moulton Street, Cambridge, 02138, MA, USA.ORCID https://orcid.org/0000-0002-1663-5102
Sonja BillerbeckMolecular Microbiology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-3092-578X
Jeff BouffardCentre for Applied Synthetic Biology, and Department of Biology, Concordia University, 7141 Sherbrooke Street West, Montréal, H4B 1R6, Québec, Canada.ORCID https://orcid.org/0000-0001-9121-8416
Gaël ChambonnierDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, 02139, MA, USA.ORCID https://orcid.org/0000-0002-5606-2089
Nikolaos NtelkisSpecialized Metabolism research group, Center for Plant Systems Biology, VIB-Ghent University, Technologiepark 71, Zwijnaarde, 9052, Belgium.ORCID https://orcid.org/0000-0003-2310-4040
Isaac GuerreiroiGEM Foundation, 45 Prospect Street, Cambridge, 02139, MA, USA.
Martin HolubDelft University of Technology, Van der Maasweg 9, 2629 HZ, The Netherlands.ORCID https://orcid.org/0000-0002-8365-0927
Paul RossBioStrat Marketing, 9965 Harbour Lake Circle, Boynton Beach, FL, 33437, USA.
Vinoo SelvarajahiGEM Foundation, 45 Prospect Street, Cambridge, 02139, MA, USA.
Noah SprentDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, Exhibition Road, SW7 2AZ, UK.ORCID https://orcid.org/0000-0001-9129-9236
Gonzalo VidalInterdisciplinary Computing and Complex BioSystems (ICOS) research group, School of Computing, Newcastle University, Devonshire Building, Devonshire Terrace, NE1 7RU, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0000-0003-3543-520X
Alejandro VignoniSynthetic Biology and Biosystems Control Lab, Instituto de Automatica e Informatica Industrial, Universitat Politecnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.ORCID https://orcid.org/0000-0001-9977-7132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CollaborationDesignEngineeringReproducibilitySynthetic Biology

Identifiers

PMID37073284
PMCPMC10105873

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.