Evidence map›Paper›PMID 22673064›Full record

ReviewCurrent opinion in chemical biology2012

Directed evolution: an evolving and enabling synthetic biology tool.

Ryan E Cobb, Tong Si, Huimin Zhao

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Biosensor development for single-cell detection of glucuronate.Journal of industrial microbiology & biotechnology · 2023
    Article
  3. Research progress of pathway and genome evolution in microbes.Synthetic and systems biotechnology · 2022
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Functional Site Discovery in a Sulfur Metabolism Enzyme by Using Directed Evolution.Chembiochem : a European journal of chemical biology · 2016
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Protein design for pathway engineering.Journal of structural biology · 2014
    Review
  17. Bridging the gap: a roadmap to breaking the biological design barrier.Frontiers in bioengineering and biotechnology · 2014
    Review
  18. Article
  19. DNA catalysts with tyrosine kinase activity.Journal of the American Chemical Society · 2013
    Article
  20. Directed Evolution: Past, Present and Future.AIChE journal. American Institute of Chemical Engineers · 2013
    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

3 authors.

Ryan E CobbDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States.
Tong Si
Huimin Zhao

Funding

Structural Elucidation and Biosynthesis P01GM077596 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI METCALF, WILLIAM W · 2007 to 2016
$15.3M
NIGMS NIH HHS GM077596NIGMS NIH HHS P01 GM077596
6 · The paper itself

Abstract

Synthetic biology, with its goal of designing biological entities for wide-ranging purposes, remains a field of intensive research interest. However, the vast complexity of biological systems has heretofore rendered rational design prohibitively difficult. As a result, directed evolution remains a valuable tool for synthetic biology, enabling the identification of desired functionalities from large libraries of variants. This review highlights the most recent advances in the use of directed evolution in synthetic biology, focusing on new techniques and applications at the pathway and genome scale.

Indexed as

AnimalsBiosynthetic PathwaysDirected Molecular EvolutionGenomeHumansSignal TransductionSynthetic Biology

Identifiers

PMID22673064
PMCPMC3424333

What OpenQuestion holds

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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.