Evidence map›Paper›PMID 23200137›Full record

ReviewGenomics, proteomics & bioinformatics2012

Predicting sRNAs and their targets in bacteria.

Wuju Li, Xiaomin Ying, Qixuan Lu, Linxi Chen

Open access · goldAbstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

34 citing papers in PubMed, 63 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Chemical strategies for antisense antibiotics.Chemical Society reviews · 2024
    Review
  7. Article
  8. Small RNA GadY inFrontiers in cellular and infection microbiology · 2024
    Article
  9. Article
  10. Advances in the Sensing and Treatment of Wound Biofilms.Angewandte Chemie (International ed. in English) · 2022
    Review
  11. Advances in the Sensing and Treatment of Wound Biofilms.Angewandte Chemie (Weinheim an der Bergstrasse, Germany) · 2022
    Review
  12. TheFrontiers in molecular biosciences · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Prevalence of small base-pairing RNAs derived from diverse genomic loci.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020
    Review
  18. Article
  19. Article
  20. Transcriptome Profiling ofFrontiers in molecular biosciences · 2020
    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 2 institutions in 1 country.

Wuju LiBeijing Institute of Basic Medical Sciences, Beijing 100850, China. liwj@nic.bmi.ac.cn
Xiaomin Ying
Qixuan Lu
Linxi Chen
Beijing Institute of Education · CNInstitute of Basic Medical Sciences of the Chinese Academy of Medical Sciences

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial small RNAs (sRNAs) are an emerging class of regulatory RNAs of about 40-500 nucleotides in length and, by binding to their target mRNAs or proteins, get involved in many biological processes such as sensing environmental changes and regulating gene expression. Thus, identification of bacterial sRNAs and their targets has become an important part of sRNA biology. Current strategies for discovery of sRNAs and their targets usually involve bioinformatics prediction followed by experimental validation, emphasizing a key role for bioinformatics prediction. Here, therefore, we provided an overview on prediction methods, focusing on the merits and limitations of each class of models. Finally, we will present our thinking on developing related bioinformatics models in future.

Indexed as

Computational BiologyArtificial IntelligenceBacteriaBacterial ProteinsBase SequenceComputer SimulationGenes, BacterialModels, GeneticNucleic Acid ConformationRNA, BacterialRNA, MessengerBacterial ProteinsRNA, BacterialRNA, Messenger

Identifiers

PMID23200137
PMCPMC5054197
OpenAlexW2063681612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.