ArticleNucleic acids research2026
ENSURE: the encyclopedia of suppressor tRNA with an AI assistant.
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 1 paper.
What it found
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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
1 citing paper in PubMed.
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 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
16 authors.
Funding
Abstract
Suppressor transfer RNAs (sup-tRNAs) offer a promising strategy for rescuing proteins truncated by premature termination codons via translational readthrough. Despite recent advances in genetic code expansion and RNA therapeutics that have facilitated sup-tRNA engineering, progress remains constrained by the lack of a dedicated, integrative data platform. Here, we present ENSURE (https://trna.lumoxuan.cn/), a comprehensive knowledge base that aggregates 2152 disease- and cancer-associated nonsense, missense, and frameshift variants; 86 experimentally validated natural sup-tRNAs, 1108 tRNA engineering strategies; and 487 curated tRNA element records. All sequences undergo multiple sequence alignment, secondary structure prediction, and AlphaFold 3 modeling accompanied by interactive 2D/3D visualization. ENSURE supports keyword and BLAST searches, as well as bulk downloads. A key feature is an AI assistant based on a retrieval-augmented generation architecture: ~123.7k tokens of database pages, literature abstracts, structural annotations, and other resources are chunked and encoded with Sentence-BERT; user queries are processed similarly, matched to relevant chunks, concatenated with the query, and passed to a large language model to generate answers with illustrative resources inserted automatically. By combining curated data, structural models, and an interactive AI assistant, ENSURE provides a powerful platform to accelerate sup-tRNA research and translational applications.
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What OpenQuestion 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 OpenQuestion graph.