AIMC Topic: RNA Editing

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RNA Editing Signatures Powered by Artificial Intelligence: A New Frontier in Differentiating Schizophrenia, Bipolar, and Schizoaffective Disorders.

International journal of molecular sciences Dec 3, 2024
Mental health disorders are devastating illnesses, often misdiagnosed due to overlapping clinical symptoms. Among these conditions, bipolar disorder, schizophrenia, and schizoaffective disorder are particularly difficult to distinguish, as they share...
Male Middle Aged Bipolar Disorder Female Adult Psychotic Disorders Adenosine RNA Editing Diagnosis, Differential Schizophrenia Humans Machine Learning Biomarkers Artificial Intelligence
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miTDS: Uncovering miRNA-mRNA interactions with deep learning for functional target prediction.

Methods (San Diego, Calif.) Jan 26, 2024
MicroRNAs (miRNAs) are vital in regulating gene expression through binding to specific target sites on messenger RNAs (mRNAs), a process closely tied to cancer pathogenesis. Identifying miRNA functional targets is essential but challenging, due to in...
RNA Editing Deep Learning MicroRNAs Nucleotides RNA, Messenger
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EditPredict: Prediction of RNA editable sites with convolutional neural network.

Genomics Sep 23, 2021
RNA editing exerts critical impacts on numerous biological processes. While millions of RNA editings have been identified in humans, much more are expected to be discovered. In this work, we constructed Convolutional Neural Network (CNN) models to pr...
RNA-Seq RNA RNA Editing Genome Neural Networks, Computer Animals
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RDDSVM: accurate prediction of A-to-I RNA editing sites from sequence using support vector machines.

Functional & integrative genomics Sep 16, 2021
Adenosine to inosine (A-to-I) editing in RNA is involved in various biological processes like gene expression, alternative splicing, and mRNA degradation associated with carcinogenesis and various human diseases. Therefore, accurate identification of...
RNA Editing Support Vector Machine RNA Transcriptome Sequence Analysis, RNA Humans
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Evaluation of off-targets predicted by sgRNA design tools.

Genomics Apr 27, 2020
The ease of programming CRISPR/Cas9 system for targeting a specific location within the genome has paved way for many clinical and industrial applications. However, its widespread use is still limited owing to its off-target effects. Though this off-...
Machine Learning RNA Editing Algorithms CRISPR-Cas Systems RNA
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EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions.

Analytical biochemistry Jan 18, 2019
RNA editing process like Adenosine to Intosine (A-to-I) often influences basic functions like splicing stability and most importantly the translation. Thus knowledge about editing sites is of great importance in molecular biology. With the growth of ...
Adenosine Inosine Machine Learning RNA Editing User-Computer Interface Area Under Curve ROC Curve RNA
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Accurate identification of RNA editing sites from primitive sequence with deep neural networks.

Scientific reports Apr 16, 2018
RNA editing is a post-transcriptional RNA sequence alteration. Current methods have identified editing sites and facilitated research but require sufficient genomic annotations and prior-knowledge-based filtering steps, resulting in a cumbersome, tim...
Deep Learning Genomics Sequence Analysis, RNA Gene Expression Regulation, Developmental Humans RNA Editing Animals RNA Drosophila
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Dynamic regulation of RNA editing in human brain development and disease.

Nature neuroscience Jun 27, 2016
RNA editing is increasingly recognized as a molecular mechanism regulating RNA activity and recoding proteins. Here we surveyed the global landscape of RNA editing in human brain tissues and identified three unique patterns of A-to-I RNA editing rate...
Diagnosis Adenosine Inosine RNA Editing RNA-Binding Proteins Humans Adenosine Deaminase Gene Ontology Brain
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Exploring functional conservation in silico: a new machine learning approach to RNA-editing.

Briefings in bioinformatics May 23, 2024
Around 50 years ago, molecular biology opened the path to understand changes in forms, adaptations, complexity, or the basis of human diseases through myriads of reports on gene birth, gene duplication, gene expression regulation, and splicing regula...
Humans Neural Networks, Computer Machine Learning RNA Editing Computational Biology Algorithms RNA Computer Simulation
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PlantC2U: deep learning of cross-species sequence landscapes predicts plastid C-to-U RNA editing in plants.

Journal of experimental botany Apr 15, 2024
In plants, C-to-U RNA editing mainly occurs in plastid and mitochondrial transcripts, which contributes to a complex transcriptional regulatory network. More evidence reveals that RNA editing plays critical roles in plant growth and development. Howe...
Deep Learning Plants RNA Editing Transcriptome RNA, Plant Plastids
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