Evidence map›Paper›PMID 41278539›Full record

ArticleNAR genomics and bioinformatics2025

StraD: a coarse-grained simulation of co-transcriptional RNA folding.

Akito Taneda

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 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
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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

1 author.

Akito TanedaGraduate School of Science and Technology, Hirosaki University, 3 Bunkyo-cho, Hirosaki, Aomori 036-8561, Japan.ORCID https://orcid.org/0000-0001-6153-8961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-transcriptional folding is a fundamental process in living cells. Since transient RNA structures that appear during transcription have crucial functions like molecular recognition in riboswitches, elucidating the mechanism of co-transcriptional folding is an important issue to comprehend RNA functions. In the present paper, we propose a novel algorithm, StraD, for RNA secondary structure kinetics simulation on a coarse-grained energy landscape. StraD explores an energy landscape where secondary structures are enumerated based on a constrained local flooding algorithm. The constraint and local search approach effectively reduces the number of conformations in the enumeration process, enabling StraD to perform efficient flooding-based simulations. We applied StraD to co-transcriptional folding simulations of artificial RNA switches. We found that the simulation results for the artificial RNA switches reproduced those by a fine-grained simulation method, Kinfold. Moreover, with Kinfold and StraD, we performed co-transcriptional folding simulation of

Indexed as

AlgorithmsRNARNA FoldingTranscription, GeneticComputer SimulationNucleic Acid ConformationRNA, Ribosomal, 5SRNA, TransferSaccharomyces cerevisiaeRNARNA, Ribosomal, 5SRNA, Transfer

Identifiers

PMID41278539
PMCPMC12634414

What OpenQuestion holds

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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.