Evidence map›Paper›PMID 22266781›Full record

ReviewNature reviews. Microbiology2012

Computational tools for the synthetic design of biochemical pathways.

Marnix H Medema, Renske van Raaphorst, Eriko Takano, Rainer Breitling

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Methanol Dehydrogenases as a Key Biocatalysts for Synthetic Methylotrophy.Frontiers in bioengineering and biotechnology · 2021
    Review
  6. Review
  7. The Model SystemLife (Basel, Switzerland) · 2020
    Review
  8. Nanowired Bioelectric Interfaces.Chemical reviews · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Synthetic Biology of Natural Products.Cold Spring Harbor perspectives in biology · 2016
    Review
  19. Review
  20. 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

4 authors.

Marnix H MedemaDepartment of Microbial Physiology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands.
Renske van Raaphorst
Eriko Takano
Rainer Breitling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the field of synthetic biology is developing, the prospects for de novo design of biosynthetic pathways are becoming more and more realistic. Hence, there is an increasing need for computational tools that can support these efforts. A range of algorithms has been developed that can be used to identify all possible metabolic pathways and their corresponding enzymatic parts. These can then be ranked according to various properties and modelled in an organism-specific context. Finally, design software can aid the biologist in the integration of a selected pathway into smartly regulated transcriptional units. Here, we review key existing tools and offer suggestions for how informatics can help to shape the future of synthetic microbiology.

Indexed as

Metabolic Networks and PathwaysMicrobiological TechniquesSoftwareAlgorithmsComputational BiologySynthetic Biology

Identifiers

PMID22266781

What OpenQuestion holds

Textmetadata
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.