Evidence map›Paper›PMID 22465795›Full record

ArticleMethods (San Diego, Calif.)2013

Directed evolution as a powerful synthetic biology tool.

Ryan E Cobb, Ning Sun, Huimin Zhao

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Engineering a Novel Probiotic Toolkit inACS synthetic biology · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. ACS synthetic biology · 2020
    Review
  19. Generation of Cry11 Variants ofEvolutionary bioinformatics online · 2020
    Article
  20. Hydrogel Microparticles Functionalized with EngineeredSensors (Basel, Switzerland) · 2019
    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, USA.
Ning Sun
Huimin Zhao

Funding

Structural Elucidation and Biosynthesis P01GM077596 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI METCALF, WILLIAM W · 2007 to 2016
$15.3M
Training Program in Chemistry-Interface with BiologyT32GM070421 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2005 to 2019
$5.4M
NIGMS NIH HHS 5 T32 GM070421NIGMS NIH HHS GM077596NIGMS NIH HHS P01 GM077596NIGMS NIH HHS T32 GM070421
6 · The paper itself

Abstract

At the heart of synthetic biology lies the goal of rationally engineering a complete biological system to achieve a specific objective, such as bioremediation and synthesis of a valuable drug, chemical, or biofuel molecule. However, the inherent complexity of natural biological systems has heretofore precluded generalized application of this approach. Directed evolution, a process which mimics Darwinian selection on a laboratory scale, has allowed significant strides to be made in the field of synthetic biology by allowing rapid identification of desired properties from large libraries of variants. Improvement in biocatalyst activity and stability, engineering of biosynthetic pathways, tuning of functional regulatory systems and logic circuits, and development of desired complex phenotypes in industrial host organisms have all been achieved by way of directed evolution. Here, we review recent contributions of directed evolution to synthetic biology at the protein, pathway, network, and whole cell levels.

Indexed as

Directed Molecular EvolutionBiocatalysisSynthetic Biology

Identifiers

PMID22465795
PMCPMC3399045

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.