Evidence map›Paper›PMID 30498223›Full record

ArticleNature communications2018

Evolution of a General RNA-Cleaving FANA Enzyme.

Yajun Wang, Arlene K Ngor, Ali Nikoomanzar, John C Chaput

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

50 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. The XNA alphabet.Nucleic acids research · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Yajun WangDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697-3958, USA.
Arlene K NgorDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697-3958, USA.
Ali NikoomanzarDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697-3958, USA.
John C ChaputDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697-3958, USA. jchaput@uci.edu.ORCID http://orcid.org/0000-0003-1393-135X
University of California, Irvine · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
PacBio RS Single Molecule, Real-Time (SMRT) DNA SequencerS10OD010794 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2012 to 2012
$600k
High-Throughput DNA SequencerS10OD021718 · OD · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2016 to 2016
$600k
High Throughput DNA SequencerS10RR025496 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI SANDMEYER, SUZANNE · 2009 to 2009
$500k
NCI NIH HHS P30 CA062203NCRR NIH HHS S10 RR025496NIH HHS S10 OD010794NIH HHS S10 OD021718
6 · The paper itself

Abstract

The isolation of synthetic genetic polymers (XNAs) with catalytic activity demonstrates that catalysis is not limited to natural biopolymers, but it remains unknown whether such systems can achieve robust catalysis with Michaelis-Menten kinetics. Here, we describe an efficient RNA-cleaving 2'-fluoroarabino nucleic acid enzyme (FANAzyme) that functions with a rate enhancement of >10

Indexed as

CatalysisGuanineNucleic AcidsRNARNA CleavageGuanineNucleic AcidsRNA

Identifiers

PMID30498223
PMCPMC6265334
OpenAlexW2900904251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.