Evidence map›Paper›PMID 17986347›Full record

ReviewBMC systems biology2007

Models for synthetic biology.

Yiannis N Kaznessis

Abstract readEditorialReview
In one paragraph

Review in BMC systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Chemical master equation closure for computer-aided synthetic biology.Methods in molecular biology (Clifton, N.J.) · 2015
    Article
  4. Article
  5. Article
  6. Engineered temperature compensation in a synthetic genetic clock.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Programming cells: towards an automated 'Genetic Compiler'.Current opinion in biotechnology · 2010
    Review
  16. Article
  17. Function and specificity of synthetic Hox transcription factors in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  18. Article
  19. Review
  20. 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

1 author.

Yiannis N KaznessisDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA. yiannis@cems.umn.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biological engineering is emerging from biology as a distinct discipline based on quantification. The technologies propelling synthetic biology are not new, nor is the concept of designing novel biological molecules. What is new is the emphasis on system behavior. The objective is the design and construction of new biological devices and systems to deliver useful applications. Numerous synthetic gene circuits have been created in the past decade, including bistable switches, oscillators, and logic gates, and possible applications abound, including biofuels, detectors for biochemical and chemical weapons, disease diagnosis, and gene therapies. More than fifty years after the discovery of the molecular structure of DNA, molecular biology is mature enough for real quantification that is useful for biological engineering applications, similar to the revolution in modeling in chemistry in the 1950s. With the excitement that synthetic biology is generating, the engineering and biological science communities appear remarkably willing to cross disciplinary boundaries toward a common goal.

Indexed as

Models, BiologicalBiologyGene Expression RegulationGenetic EngineeringProteomeSignal TransductionSystems BiologyProteome

Identifiers

PMID17986347
PMCPMC2194732

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.