ArticleBioinformatics (Oxford, England)2023
sInterBase: a comprehensive database of Escherichia coli sRNA-mRNA interactions.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
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Who cites it
5 citing papers in PubMed.
- What makes a small RNA work?Nucleic acids research · 2025Review
- Improving prediction of bacterial sRNA regulatory targets with expression data.NAR genomics and bioinformatics · 2025Article
- GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions.BMC bioinformatics · 2025Article
- TargetRNA3: predicting prokaryotic RNA regulatory targets with machine learning.Genome biology · 2023Article
- RNA interaction format: a general data format for RNA interactions.Bioinformatics (Oxford, England) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summarysInterBase is a comprehensive and easy-to-operate web-based platform for mining experimentally identified sRNA-mRNA interactions in Escherichia coli. Interactions in the database are annotated with an interaction duplex and a set of descriptive features. sInterBase provides advanced functionality, such as flexible search based on various criteria, statistical analysis via charts, browsing, and downloading interactions for further use. AVAILABILITY AND IMPLEMENTATION: sInterBase is available at https://sinterbase.cs.bgu.ac.il/.
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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.