Evidence map›Paper›PMID 37123530›Full record

ArticleNAR genomics and bioinformatics2023

RNA-NRD: a non-redundant RNA structural dataset for benchmarking and functional analysis.

Nabila Shahnaz Khan, Md Mahfuzur Rahaman, Shahidul Islam, Shaojie Zhang

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
  5. 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.

Nabila Shahnaz KhanDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.ORCID https://orcid.org/0000-0002-4319-0444
Md Mahfuzur RahamanDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.ORCID https://orcid.org/0000-0001-5963-4970
Shahidul IslamSchool of Computing and Design, California State University, Monterey Bay, Seaside, CA 93955, USA.
Shaojie ZhangDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.ORCID https://orcid.org/0000-0002-4051-5549

Funding

RNA Structural Motif Analysis Revisited: Towards a Systematic Understanding of Noncoding RNA as Modular BiomoleculesR01GM102515 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI ZHANG, SHAOJIE, ZHONG, CUNCONG · 2012 to 2025
$2.3M
NIGMS NIH HHS R01 GM102515
6 · The paper itself

Abstract

The significance of RNA functions and their role in evolution and disease control have remarkably increased the research scope in the field of RNA science. Though the availability of RNA structure data in PBD has been growing tremendously, maintaining their quality and integrity has become the greater challenge. Since the data available in PDB are results of different independent research, they might contain redundancy. As a result, there remains a possibility of data bias for both protein and RNA chains. Quite a few studies have been conducted to remove the redundancy of protein structures by introducing high-quality representatives. However, the amount of research done to remove the redundancy of RNA structures is still very low. To remove RNA chain redundancy in PDB, we have introduced RNA-NRD, a non-redundant dataset of RNA chains based on sequence and 3D structural similarity. We compared RNA-NRD with the existing non-redundant RNA structure dataset RS-RNA and showed that it has better-formed clusters of redundant RNA chains with lower average RMSD and higher average PSI, thus improving the overall quality of the dataset.

Identifiers

PMID37123530
PMCPMC10132383

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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.