Evidence map›Paper›PMID 41264652›Full record

ArticlePLoS computational biology2025

PseudoknotVisualizer: Visualization of pseudoknots on three-dimensional RNA structures.

Takumi Otagaki, Goro Terai, Kiyoshi Asai, Junichi Iwakiri

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Takumi OtagakiDepartment of Computational Biology and Medical Sciences (CBMS), The University of Tokyo, Kashiwa, Chiba, Japan.ORCID 0009-0004-7123-9585
Goro TeraiDepartment of Computational Biology and Medical Sciences (CBMS), The University of Tokyo, Kashiwa, Chiba, Japan.
Kiyoshi AsaiDepartment of Computational Biology and Medical Sciences (CBMS), The University of Tokyo, Kashiwa, Chiba, Japan.
Junichi IwakiriDepartment of Computational Biology and Medical Sciences (CBMS), The University of Tokyo, Kashiwa, Chiba, Japan.

Funding

Japan Society for the Promotion of Science (JSPS) KAKENHI
6 · The paper itself

Abstract

We introduce the PseudoknotVisualizer, a specialized software designed to identify and visualize pseudoknots within RNA three-dimensional structures. Typically, RNA secondary structures containing pseudoknots can be decomposed into multiple pseudoknot-free layers. Our software colors the base pairs in each pseudoknot layer, enabling the visualization of pseudoknot distribution within three-dimensional structures. Specifically, users can utilize the PseudoknotVisualizer as a PyMOL extension, applying it directly to RNA molecules loaded in PyMOL. Additionally, a Command Line Interface (CLI) is provided, allowing users to generate coloring commands in Chimera or PyMOL formats, which can then be manually copied and pasted for visualization. By facilitating the clear depiction of pseudoknots in RNA tertiary structures, this tool addresses significant challenges in the identification and visualization of pseudoknots in RNA structural analysis, thereby enhancing research productivity and expanding potential applications in molecular biology. Availability and implementation: PseudoknotVisualizer is freely available at https://github.com/TakumiOtagaki/PseudoknotVisualizer.

Indexed as

Nucleic Acid ConformationRNASoftwareComputational BiologyComputer GraphicsModels, MolecularRNA

Identifiers

PMID41264652
PMCPMC12654949

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.