ArticleScientific reports2016
PAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 37 citations in OpenAlex.
- Exploring functional conservation in silico: a new machine learning approach to RNA-editing.Briefings in bioinformatics · 2024Article
- ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species.Briefings in bioinformatics · 2023Article
- Review
- RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.Nucleic acids research · 2021Article
- Machine learning applications in RNA modification sites prediction.Computational and structural biotechnology journal · 2021Review
- A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects.Frontiers in oncology · 2020Review
- Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics.Computational and structural biotechnology journal · 2020Review
- PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.Bioinformatics (Oxford, England) · 2019Article
- Bastion3: a two-layer ensemble predictor of type III secreted effectors.Bioinformatics (Oxford, England) · 2019Article
- Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models.Scientific reports · 2019Article
- Review
- PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.Scientific reports · 2018Article
- iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.Molecular therapy. Nucleic acids · 2018Article
- Accurate identification of RNA editing sites from primitive sequence with deep neural networks.Scientific reports · 2018Article
- SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.Scientific reports · 2017Article
- A-to-I editing in human miRNAs is enriched in seed sequence, influenced by sequence contexts and significantly hypoedited in glioblastoma multiforme.Scientific reports · 2017Article
- Recent Advances in Identification of RNA Modifications.Non-coding RNA · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The adenosine to inosine (A-to-I) editing is the most prevalent kind of RNA editing and involves in many biological processes. Accurate identification of A-to-I editing site is invaluable for better understanding its biological functions. Due to the limitations of experimental methods, in the present study, a support vector machine based-model, called PAI, is proposed to identify A-to-I editing site in D. melanogaster. In this model, RNA sequences are encoded by "pseudo dinucleotide composition" into which six RNA physiochemical properties were incorporated. PAI achieves promising performances in jackknife test and independent dataset test, indicating that it holds very high potential to become a useful tool for identifying A-to-I editing site. For the convenience of experimental scientists, a web-server was constructed for PAI and it is freely accessible at http://lin.uestc.edu.cn/server/PAI.
Indexed as
Identifiers
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.