Prediction of RNA Joint Secondary Structures Based on Integer Programming.

Yuki Kato, Kengo Sato

Abstract read

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

2 authors.

Yuki KatoDepartment of RNA Biology and Neuroscience, Graduate School of Medicine, and Integrated Frontier Research for Medical Science Division (iFremed), Institute for Open and Transdisciplinary Research Initiatives (OTRI), The University of Osaka, Suita, Japan. ykato@rna.med.osaka-u.ac.jp.

Kengo SatoSchool of Life Science and Technology, Institute of Science Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting a joint secondary structure formed by two RNAs plays a key role in understanding mechanisms and functions of complex RNA-RNA interactions. Here we describe a practical procedure of a fast and accurate computational method for predicting joint structures based on integer programming.

Indexed as

Computational BiologyNucleic Acid ConformationRNAAlgorithmsSoftwareRNAInteger programmingMaximum expected accuracyRegulatory RNARNA joint secondary structureRNA–RNA interaction

Identifiers

PMID41174198

DOI10.1093/bioinformatics/btp250

What OpenQuestion holds

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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.