Evidence map›Paper›PMID 20538451›Full record

ArticleCurrent opinion in biotechnology2010

Shaping up nucleic acid computation.

Xi Chen, Andrew D Ellington

Abstract read
In one paragraph

Article in Current opinion in biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Using RecA protein to enhance kinetic rates of DNA circuits.Chemical communications (Cambridge, England) · 2015
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Nucleic acid based logical systems.Chemistry (Weinheim an der Bergstrasse, Germany) · 2014
    Article
  13. Article
  14. Article
  15. Stacking nonenzymatic circuits for high signal gain.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  16. Synthetic in vitro circuits.Current opinion in chemical biology · 2012
    Review
  17. Review
  18. Review
  19. 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

2 authors.

Xi ChenDepartment of Chemistry and Biochemistry, University of Texas at Austin, Austin, TX 78712, USA.
Andrew D Ellington

Funding

Genetic circuits based on allosteric ribozymesR01GM077040 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ELLINGTON, ANDREW D · 2006 to 2010
$1.1M
NIGMS NIH HHS R01 GM077040
6 · The paper itself

Abstract

Nucleic acid-based nanotechnology has always been perceived as novel, but has begun to move from theoretical demonstrations to practical applications. In particular, the large address spaces available to nucleic acids can be exploited to encode algorithms and/or act as circuits and thereby process molecular information. In this review we not only revisit several milestones in the field of nucleic acid-based computation, but also highlight how the prospects for nucleic acid computation go beyond just a large address space. Functional nucleic acid elements (aptamers, ribozymes, and deoxyribozymes) can serve as inputs and outputs to the environment, and can act as logical elements. Into the future, the chemical dynamics of nucleic acids may prove as useful as hybridization for computation.

Indexed as

Nucleic Acid ConformationNucleic AcidsNucleic Acids

Identifiers

PMID20538451
PMCPMC2943001

What OpenQuestion holds

Textmetadata
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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.