Evidence map›Paper›PMID 36420165›Full record

ArticleComputational and structural biotechnology journal2022

RNAME: A comprehensive database of RNA modification enzymes.

Fulei Nie, Qiang Tang, Ying Liu, Huaizhi Qin, Shilong Liu, Meng Wu, Pengmian Feng, Wei Chen

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. RNA modifications and their role in gene expression.Frontiers in molecular biosciences · 2025
    Review
  4. Article
  5. Review
  6. Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Review
  9. 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

8 authors.

Fulei NieSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.
Qiang TangSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Ying LiuSchool of Life Sciences, North China University of Science and Technology, Tangshan 063210, China.
Huaizhi QinSchool of Life Sciences, North China University of Science and Technology, Tangshan 063210, China.
Shilong LiuSchool of Life Sciences, North China University of Science and Technology, Tangshan 063210, China.
Meng WuSchool of Life Sciences, North China University of Science and Technology, Tangshan 063210, China.
Pengmian FengSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Wei ChenSchool of Public Health, North China University of Science and Technology, Tangshan 063210, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic RNA modifications were orchestrated by a series of enzymes, namely "writer", "reader" and "eraser", which can install, recognize and remove the modifications, respectively. However, only a very small number of experimentally validated RNA modification enzymes have been identified and reported. Therefore, there is an urgent need to develop a database to deposit RNA modification enzymes. In the present work, we developed the RNAME database (https://chenweilab.cn/rname/) to provide a comprehensive resource for RNA modification enzymes. The current version of RNAME deposits more than 21,000 manually curated RNA modification enzymes, which are from 456 species and covers the 7 common kinds of RNA modifications (i.e., adenosine to inosine, N

Indexed as

DatabaseEraserReaderRNA modification enzymesRNA modificationsWriter

Identifiers

PMID36420165
PMCPMC9678767

What OpenQuestion holds

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Registered trials

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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.