ArticleNucleic acids research2026
TiRNA: a coarse-grained method with temperature and ion effects for RNA structure folding and prediction.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Building RNA coarse-grained force fields: Design principles and training strategies.Biophysical journal · 2026Review
- R3J-AGNN: GNN-Based Prediction of Inter-Branch Angles in RNA Three-Way Junctions from Secondary Structure.Biology · 2026Article
- gCoSRNA: Generalizable Coaxial Stacking Prediction for RNA Junctions Using Secondary Structure.Biomolecules · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
RNAs play crucial roles in various important biological functions such as gene regulation and catalysis. The functions of RNAs are generally coupled to their structures as well as to the stability of the structure, which can strongly depend on ionic conditions. However, it is still a challenge to make reliable predictions for the structures and stability of RNAs in ion solutions. In this work, we developed a coarse-grained method involving temperature and ion effects for simulating RNA folding and three-dimensional (3D) structure prediction, named TiRNA. Extensive tests demonstrate that TiRNA can make successful predictions for 3D structures of RNAs, including pseudoknots and multi-way junctions, and for thermal stability of RNAs in ion solutions solely from sequences, as compared with the top existing methods. Moreover, TiRNA can also make reliable predictions for 3D structures and stability of RNAs in ion solutions based on inputting secondary structures.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.