Evidence map›Paper›PMID 29657278›Full record

ReviewNon-coding RNA2017

A Brief Review of RNA-Protein Interaction Database Resources.

Ying Yi, Yue Zhao, Yan Huang, Dong Wang

Open access · goldAbstract readReview
In one paragraph

Review in Non-coding RNA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Overexpression ofOncology letters · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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.

Ying YiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. lavender_yi@foxmail.com.
Yue ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. zhaoyueelf@163.com.
Yan HuangDepartment of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin 150081, China. huangyan@hrbmu.edu.cn.
Dong WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. wangdong@ems.hrbmu.edu.cn.ORCID 0000-0001-7949-5285
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-protein interactions play critical roles in various biological processes. By collecting and analyzing the RNA-protein interactions and binding sites from experiments and predictions, RNA-protein interaction databases have become an essential resource for the exploration of the transcriptional and post-transcriptional regulatory network. Here, we briefly review several widely used RNA-protein interaction database resources developed in recent years to provide a guide of these databases. The content and major functions in databases are presented. The brief description of database helps users to quickly choose the database containing information they interested. In short, these RNA-protein interaction database resources are continually updated, but the current state shows the efforts to identify and analyze the large amount of RNA-protein interactions.

Indexed as

binding sitedatabaseRNA-protein interaction

Identifiers

PMID29657278
PMCPMC5832006
OpenAlexW2580556990

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.