Evidence map›Paper›PMID 41174200›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

In Silico Design of Interacting RNA Sequences Using the MODENA Web Server.

Akito Taneda

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. 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

1 author.

Akito TanedaGraduate School of Science and Technology, Hirosaki University, Hirosaki, Aomori, Japan. taneda@hirosaki-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, various synthetic RNAs that interact with each other have been proposed to artificially control gene expression. By virtue of efficient secondary structure prediction technologies and powerful optimization algorithms, designing interacting RNAs with functional structures in silico is now possible. In this chapter, we describe the use of a web application to design two interacting RNAs with user-prescribed structural features that are intended to work as a molecular switch to modulate gene expression.

Indexed as

Computational BiologyInternetRNASoftwareAlgorithmsComputer SimulationNucleic Acid ConformationRNAMulti-objective genetic algorithmRNA interactionRNA switchSecondary structureSynthetic biology

Identifiers

What OpenQuestion holds

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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.