Evidence map›Paper›PMID 36352219›Full record

ArticleAdvances in experimental medicine and biology2022

3D Modeling of Non-coding RNA Interactions.

Krishna Pal Singh, Shailendra Gupta

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Open life sciences · 2025
    Article
  3. Review
  4. 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

2 authors at 1 institution in 1 country.

Krishna Pal SinghDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.
Shailendra GuptaDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany. shailendra15@gmail.com.
University of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) are a growing class of transcripts, with lengths ranging from tens to several thousand of bases, involved in the regulation of a large number of biological processes and diseases. Many of these ncRNAs have emerged as the molecules of interest for prognostic, diagnostic, and therapeutic purposes in many diseases including cancer. Although ncRNAs do not encode proteins, they fold into complex structures to interact with target proteins, DNA, or other RNAs. In contrast to microRNAs (miRNAs) where researchers mainly focused on the nucleotide sequence for target prediction in the past, folding and structural conservation seems to be important to encode functions and interactions of long non-coding RNA (lncRNA). In this chapter, we discuss methods and tools available for the structural modeling of ncRNAs together with various examples from the literature where structural modeling helped decipher the function of ncRNAs. We also provide a step-by-step procedure to design 3D structures of ncRNAs combining state-of-the-art tools available toward the design of novel RNA therapeutics.

Indexed as

MicroRNAsNeoplasmsRNA, Long NoncodingBase SequenceHumansRNA, UntranslatedMicroRNAsRNA, Long NoncodingRNA, UntranslatedDeep learningmiRNA-mRNAMolecular dockingMolecular dynamic simulationNon-coding RNAsStructure modeling

Identifiers

PMID36352219
OpenAlexW4308766029

What OpenQuestion holds

Textmetadata
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.