Evidence map›Paper›PMID 28387604›Full record

ArticleRNA biology2017

DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining.

Adil Salhi, Magbubah Essack, Tanvir Alam, Vladan P Bajic, Lina Ma, Aleksandar Radovanovic, Benoit Marchand, Sebastian Schmeier, Zhang Zhang, Vladimir B Bajic

Open access · hybridAbstract read
In one paragraph

Article in RNA biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. emiRIT: a text-mining-based resource for microRNA information.Database : the journal of biological databases and curation · 2021
    Article
  8. Review
  9. Review
  10. Article
  11. Redox control of vascular biology.BioFactors (Oxford, England) · 2020
    Review
  12. Article
  13. Article
  14. Review
  15. 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

10 authors at 5 institutions in 5 countries.

Adil Salhia King Abdullah University of Science and Technology (KAUST) , Computational Bioscience Research Center (CBRC) , Thuwal , Kingdom of Saudi Arabia.
Magbubah Essacka King Abdullah University of Science and Technology (KAUST) , Computational Bioscience Research Center (CBRC) , Thuwal , Kingdom of Saudi Arabia.
Tanvir Alama King Abdullah University of Science and Technology (KAUST) , Computational Bioscience Research Center (CBRC) , Thuwal , Kingdom of Saudi Arabia.
Vladan P Bajicb VINCA Institute of Nuclear Sciences , Belgrade , Republic of Serbia.
Lina Mac BIG Data Center, Beijing Institute of Genomics (BIG) , Chinese Academy of Sciences , Beijing , China.
Aleksandar Radovanovica King Abdullah University of Science and Technology (KAUST) , Computational Bioscience Research Center (CBRC) , Thuwal , Kingdom of Saudi Arabia.
Benoit Marchande New York University , Abu Dhabi , UAE.
Sebastian Schmeierf Massey University Auckland, Institute of Natural and Mathematical Sciences , Albany , Auckland , New Zealand.ORCID 0000-0002-3947-8226
Zhang Zhangc BIG Data Center, Beijing Institute of Genomics (BIG) , Chinese Academy of Sciences , Beijing , China.
Vladimir B Bajica King Abdullah University of Science and Technology (KAUST) , Computational Bioscience Research Center (CBRC) , Thuwal , Kingdom of Saudi Arabia.
Chinese Academy of Sciences · CNInstitute of Economic Sciences · RSKing Abdullah University of Science and Technology · SAMassey University · NZNew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long ncRNAs (lncRNAs), are important players in diseases and emerge as novel drug targets. Thus, unraveling the relationships between ncRNAs and other biomedical entities in cells are critical for better understanding ncRNA roles that may eventually help develop their use in medicine. To support ncRNA research and facilitate retrieval of relevant information regarding miRNAs and lncRNAs from the plethora of published ncRNA-related research, we developed DES-ncRNA ( www.cbrc.kaust.edu.sa/des_ncrna ). DES-ncRNA is a knowledgebase containing text- and data-mined information from public scientific literature and other public resources. Exploration of mined information is enabled through terms and pairs of terms from 19 topic-specific dictionaries including, for example, antibiotics, toxins, drugs, enzymes, mutations, pathways, human genes and proteins, drug indications and side effects, mutations, diseases, etc. DES-ncRNA contains approximately 878,000 associations of terms from these dictionaries of which 36,222 (5,373) are with regards to miRNAs (lncRNAs). We provide several ways to explore information regarding ncRNAs to users including controlled generation of association networks as well as hypotheses generation. We show an example how DES-ncRNA can aid research on Alzheimer disease and suggest potential therapeutic role for Fasudil. DES-ncRNA is a powerful tool that can be used on its own or as a complement to the existing resources, to support research in human ncRNA. To our knowledge, this is the only knowledgebase dedicated to human miRNAs and lncRNAs derived primarily through literature-mining enabling exploration of a broad spectrum of associated biomedical entities, not paralleled by any other resource.

Indexed as

Data MiningKnowledge BasesSoftware1-(5-Isoquinolinesulfonyl)-2-MethylpiperazineAlzheimer DiseaseDictionaries as TopicDisease ProgressionGene OntologyHumansMicroRNAsRNA, Long Noncoding1-(5-Isoquinolinesulfonyl)-2-MethylpiperazinefasudilMicroRNAsRNA, Long NoncodingAlzheimer diseasebioinformaticsdata-mininginformation integrationknowledgebaseliterature-mininglong noncoding RNAmicroRNANoncoding RNAtext-mining

Identifiers

PMID28387604
PMCPMC5546543
OpenAlexW2604139996

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.