Evidence map›Paper›PMID 39171462›Full record

ArticleMicroRNA (Shariqah, United Arab Emirates)2025

miRVim: Three-dimensional miRNA Structure Database.

Vishal Kumar Sahu, Ankita Subhadarsani Parida, Amit Ranjan, Harishkumar Madhyastha, Soumya Basu

Abstract read
PubMed Publisher
In one paragraph

Article in MicroRNA (Shariqah, United Arab Emirates), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

5 authors.

Vishal Kumar SahuCancer and Translational Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, (DYPBBI), Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Tathawade, Pune, 411033, India.ORCID 0000-0003-1487-3526
Ankita Subhadarsani ParidaCancer and Translational Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, (DYPBBI), Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Tathawade, Pune, 411033, India.ORCID 0009-0007-9587-5705
Amit RanjanCancer and Translational Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, (DYPBBI), Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Tathawade, Pune, 411033, India.
Harishkumar MadhyasthaDepartment of Cardiovascular Physiology, Faculty of Medicine, University of Miyazaki, Miyazaki, 8891692, Japan.ORCID 0000-0002-7143-4821
Soumya BasuCancer and Translational Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, (DYPBBI), Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Tathawade, Pune, 411033, India.ORCID 0000-0002-1726-0154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMicroRNAs (miRNAs), a distinct category of non-coding RNAs, exert multifaceted regulatory functions in a variety of organisms, including humans, animals, and plants. The inventory of identified miRNAs stands at approximately 60,000 among all species and 1,926 in Homo sapiens manifests miRNA expression. Their theranostic role has been explored by researchers over the last few decades, positioning them as prominent therapeutic targets as our understanding of RNA targeting advances. However, limited availability of experimentally determined miRNA structures has constrained drug discovery efforts relying on virtual screening or computational methods, including machine learning and artificial intelligence.

methodsTo address this lacuna, miRVim has been developed, providing a repository of human miRNA structures derived from both two-dimensional (MXFold2, CentroidFold, and RNAFold) and three-dimensional (RNAComposer and 3dRNA) structure prediction algorithms, in addition to experimentally available structures from the RCSB PDB repository.

resultsmiRVim contains 13,971 predicted secondary structures and 17,045 predicted three-dimensional structures filling the gap of unavailability of miRNA structure data bank. This database aims to facilitate computational data analysis for drug discovery, opening new avenues for advancing technologies such as machine learning-based predictions in the field of RNA biology.

conclusionThe publicly accessible structures provided by miRVim, available at https://mirna.in/miRVim, offer a valuable resource for the research community, advancing the field of miRNA-related computational analysis and drug discovery.

Indexed as

Databases, Nucleic AcidMicroRNAsAlgorithmsComputational BiologyHumansMachine LearningNucleic Acid ConformationMicroRNAshuman miRNA structures.miRNA 3D structuresmolecular modeling of miRNAnucleic acid modellingRNA foldingStructural bioinformatics

Identifiers

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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.