Evidence map›Paper›PMID 20396881›Full record

ReviewApplied microbiology and biotechnology2010

Synthetic biology approaches in drug discovery and pharmaceutical biotechnology.

Heinz Neumann, Petra Neumann-Staubitz

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Establishing Chlamydomonas reinhardtii as an industrial biotechnology host.The Plant journal : for cell and molecular biology · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Synergistic Synthetic Biology: Units in Concert.Frontiers in bioengineering and biotechnology · 2013
    Review
  15. Article
  16. Review
  17. Synthetic biology: putting synthesis into biology.Wiley interdisciplinary reviews. Systems biology and medicine
    Review
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

2 authors.

Heinz NeumannFree Floater (Junior) Research Group Applied Synthetic Biology, Institute for Microbiology and Genetics, Georg-August University Göttingen, Justus-von-Liebig Weg 11, 37077 Göttingen, Germany. hneumann@gwdg.de
Petra Neumann-Staubitz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology is the attempt to apply the concepts of engineering to biological systems with the aim to create organisms with new emergent properties. These organisms might have desirable novel biosynthetic capabilities, act as biosensors or help us to understand the intricacies of living systems. This approach has the potential to assist the discovery and production of pharmaceutical compounds at various stages. New sources of bioactive compounds can be created in the form of genetically encoded small molecule libraries. The recombination of individual parts has been employed to design proteins that act as biosensors, which could be used to identify and quantify molecules of interest. New biosynthetic pathways may be designed by stitching together enzymes with desired activities, and genetic code expansion can be used to introduce new functionalities into peptides and proteins to increase their chemical scope and biological stability. This review aims to give an insight into recently developed individual components and modules that might serve as parts in a synthetic biology approach to pharmaceutical biotechnology.

Indexed as

BiotechnologyDrug DiscoveryGenetic EngineeringBacteriaDrug IndustryPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID20396881
PMCPMC2872025

What OpenQuestion holds

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LicenceCC BY-NC
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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.