Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

RDMAS: a web server for RNA deleterious mutation analysis.

Wenjie Shu1, Xiaochen Bo, Rujia Liu

  • 1Beijing Institute of Radiation Medicine, Beijing 100850, China. shuwj@bmi.ac.cn

BMC Bioinformatics
|September 8, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mechanism of claudin-2 in RTECs apoptosis after renal obstruction.

Urolithiasis·2026
Same author

Treatment of restless legs syndrome by acupuncture combined with medicine based on pathophysiological mechanism.

Frontiers in medicine·2026
Same author

Explaining rural-urban disparities in child stunting in African least developed countries: a multi-country cross-sectional analysis.

International journal for equity in health·2026
Same author

Apoptosis, Pyroptosis, and Necroptosis (PANoptosis) may be Present in Renal Ischemic Injury.

Current medicinal chemistry·2026
Same author

Modified Fuzheng Yiliu Decoction chemosensitizes colorectal cancer by inhibiting cancer stem cell metabolism and stemness through CAV1/ZNF460/GRP78 signaling.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Combination of andrographolide and baicalin inhibited influenza A virus infection through suppressing RORγt-IL-17A pathway.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
See all related articles

RDMAS predicts if mutations in non-coding RNAs (ncRNAs) disrupt their structure, potentially causing disease or affecting microbial fitness. This tool helps identify harmful mutations and critical RNA regions.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genetics

Background:

  • Non-coding RNAs (ncRNAs) rely on specific structures for their diverse functions.
  • Mutations disrupting ncRNA structures, particularly at functional sites, are often deleterious.
  • Deleterious RNA mutations are significant in disease pathogenesis and microbial fitness.

Purpose of the Study:

  • To develop an accessible online tool for evaluating the structural impact of single nucleotide mutations in RNA genes.
  • To provide a user-friendly platform for predicting deleterious mutations in ncRNAs.

Main Methods:

  • Integration of multiple RNA structure comparison methods.
  • Optional inclusion of sub-optimal secondary structure predictions to account for prediction uncertainties.

Related Experiment Videos

  • Development of a web server with an intuitive interface and illustrative outputs.

    • Main Results:

    • The RDMAS web server enables the evaluation of structural deleteriousness for single nucleotide mutations in RNA.
    • The tool facilitates analysis through user-friendly features and clear visualizations.
    • It integrates various structure comparison techniques and allows for sub-optimal structure considerations.

    Conclusions:

    • RDMAS aids in understanding how structural alterations from mutations lead to pathogenicity.
    • The tool assists in predicting deleterious mutations, thereby identifying functionally critical regions within ncRNAs.
    • RDMAS is freely available online for research purposes.