Evidence map›Paper›PMID 25776805›Full record

ArticleScientific reports2015

Rsite: a computational method to identify the functional sites of noncoding RNAs.

Pan Zeng, Jianwei Li, Wei Ma, Qinghua Cui

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Machine Learning for RNA-Targeting Drug Design.Journal of chemical information and modeling · 2026
    Review
  3. Article
  4. Article
  5. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Mining for Ligandable Cavities in RNA.ACS medicinal chemistry letters · 2021
    Article
  19. RBinds: A user-friendly server for RNA binding site prediction.Computational and structural biotechnology journal · 2020
    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.

Pan ZengDepartment of Biomedical Informatics, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 xueyuan Rd, Beijing. 100191, China.
Jianwei LiLab of Translational Biomedicine Informatics, School of Computer Science and Engineering, Hebei University of Technology, 5340 Xiping Rd, Tianjin. 300401, China.
Wei MaDepartment of Biomedical Informatics, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 xueyuan Rd, Beijing. 100191, China.
Qinghua CuiDepartment of Biomedical Informatics, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 xueyuan Rd, Beijing. 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing demand for identifying the functional sites of noncoding RNAs (ncRNAs). Here we introduce a tertiary-structure based computational approach, Rsite, which first calculates the Euclidean distances between each nucleotide and all the other nucleotides in a RNA molecule and then determines the nucleotides that are the extreme points in the distance curve as the functional sites. By analyzing two ncRNAs, tRNA (Lys) and Diels-Alder ribozyme, we demonstrated the efficiency of Rsite. As a result, Rsite recognized all of the known functional sites of the two ncRNAs, suggesting that Rsite could be a potentially useful tool for discovering the functional sites of ncRNAs. The source codes and data sets of Rsite are available at http://www.cuilab.cn/rsite.

Indexed as

AlgorithmsComputational BiologyDatabases, GeneticNucleic Acid ConformationNucleotide MotifsRNA, CatalyticRNA, TransferRNA, UntranslatedStructure-Activity RelationshipDiels-Alder ribozymeRNA, CatalyticRNA, TransferRNA, Untranslated

Identifiers

PMID25776805
PMCPMC4361870

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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.