Evidence map›Paper›PMID 33800268›Full record

ArticleInternational journal of molecular sciences2021

A Web Server for Designing Molecular Switches Composed of Two Interacting RNAs.

Akito Taneda, Kengo Sato

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. In Silico Design of Interacting RNA Sequences Using the MODENA Web Server.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Riboswitch Design Using MODENA.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Web Services for RNA-RNA Interaction Prediction.Methods in molecular biology (Clifton, N.J.) · 2023
    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

2 authors.

Akito TanedaGraduate School of Science and Technology, Hirosaki University, Hirosaki, Aomori 036-8561, Japan.
Kengo SatoDepartment of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.ORCID 0000-0001-6744-7390

Funding

Japan Society for the Promotion of Science 15K00392 and 18K11519
6 · The paper itself

Abstract

The programmability of RNA-RNA interactions through intermolecular base-pairing has been successfully exploited to design a variety of RNA devices that artificially regulate gene expression. An in silico design for interacting structured RNA sequences that satisfies multiple design criteria becomes a complex multi-objective problem. Although multi-objective optimization is a powerful technique that explores a vast solution space without empirical weights between design objectives, to date, no web service for multi-objective design of RNA switches that utilizes RNA-RNA interaction has been proposed. We developed a web server, which is based on a multi-objective design algorithm called MODENA, to design two interacting RNAs that form a complex in silico. By predicting the secondary structures with RactIP during the design process, we can design RNAs that form a joint secondary structure with an external pseudoknot. The energy barrier upon the complex formation is modeled by an interaction seed that is optimized in the design algorithm. We benchmarked the RNA switch design approaches (MODENA+RactIP and MODENA+RNAcofold) for the target structures based on natural RNA-RNA interactions. As a result, MODENA+RactIP showed high design performance for the benchmark datasets.

Indexed as

AlgorithmsComputer SimulationRNARNA FoldingSequence Analysis, RNASoftwareRNAgenetic algorithmin silico designmulti-objective optimizationRNA–RNA interactionsecondary structuresynthetic biology

Identifiers

PMID33800268
PMCPMC7962656

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.