Evidence map›Paper›PMID 19252506›Full record

ReviewNature reviews. Microbiology2009

The role of predictive modelling in rationally re-engineering biological systems.

Tie Koide, Wyming Lee Pang, Nitin S Baliga

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2009. 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. Article
  2. Review
  3. Review
  4. RobOKoD: microbial strain design for (over)production of target compounds.Frontiers in cell and developmental biology · 2015
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Computational design of genomic transcriptional networks with adaptation to varying environments.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Adaptation of cells to new environments.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

3 authors.

Tie KoideInstitute for Systems Biology, 1441 N 34th Street, Seattle, Washington 98103, USA.
Wyming Lee Pang
Nitin S Baliga

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Interrogation of systems level mechanisms controlling DNA repair processesR01GM077398 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2007 to 2010
$1.3M
NIGMS NIH HHS 1R01GM077398-01A2NIGMS NIH HHS P50 GM076547NIGMS NIH HHS P50GM076547NIGMS NIH HHS R01 GM077398
6 · The paper itself

Abstract

Technologies to synthesize and transplant a complete genome into a cell have opened limitless potential to redesign organisms for complex, specialized tasks. However, large-scale re-engineering of a biological circuit will require systems-level optimization that will come from a deep understanding of operational relationships among all the constituent parts of a cell. The integrated framework necessary for conducting such complex bioengineering requires the convergence of systems and synthetic biology. Here, we review the status of these rapidly developing interdisciplinary fields of biology and provide a perspective on plausible venues for their merger.

Indexed as

Models, BiologicalBiotechnologySystems Biology

Identifiers

PMID19252506
PMCPMC2734281

What OpenQuestion holds

Textmetadata
LicenceTDM
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.