AIMC Topic: RNA Precursors
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Investigating Ligand-Mediated Conformational Dynamics of Pre-miR21: A Machine-Learning-Aided Enhanced Sampling Study.
Journal of chemical information and modeling
Nov 11, 2024
MicroRNAs (miRs) are short, noncoding RNA strands that regulate the activity of mRNAs by affecting the repression of protein translation, and their dysregulation has been implicated in several pathologies. miR21 in particular has been implicated in t...
Development and validation of AI/ML derived splice-switching oligonucleotides.
Molecular systems biology
Apr 25, 2024
Splice-switching oligonucleotides (SSOs) are antisense compounds that act directly on pre-mRNA to modulate alternative splicing (AS). This study demonstrates the value that artificial intelligence/machine learning (AI/ML) provides for the identificat...
PlantMirP-Rice: An Efficient Program for Rice Pre-miRNA Prediction.
Genes
Jun 18, 2020
Rice microRNAs (miRNAs) are important post-transcriptional regulation factors and play vital roles in many biological processes, such as growth, development, and stress resistance. Identification of these molecules is the basis of dissecting their re...
Deep neural networks for human microRNA precursor detection.
BMC bioinformatics
Jan 13, 2020
BACKGROUND: MicroRNAs (miRNAs) play important roles in a variety of biological processes by regulating gene expression at the post-transcriptional level. So, the discovery of new miRNAs has become a popular task in biological research. Since the expe...
Discovery and annotation of novel microRNAs in the porcine genome by using a semi-supervised transductive learning approach.
Genomics
Dec 6, 2019
Despite the broad variety of available microRNA (miRNA) prediction tools, their application to the discovery and annotation of novel miRNA genes in domestic species is still limited. In this study we designed a comprehensive pipeline (eMIRNA) for miR...
Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing.
Cells
Nov 26, 2019
Defects in pre-mRNA splicing are frequently a cause of Mendelian disease. Despite the advent of next-generation sequencing, allowing a deeper insight into a patient's variant landscape, the ability to characterize variants causing splicing defects ha...
Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features.
Scientific reports
Feb 6, 2019
The significant role of microRNAs (miRNAs) in various biological processes and diseases has been widely studied and reported in recent years. Several computational methods associated with mature miRNA identification suffer various limitations involvi...
A novel method to identify pre-microRNA in various species knowledge base on various species.
Journal of biomedical semantics
Sep 20, 2017
BACKGROUND: More than 1/3 of human genes are regulated by microRNAs. The identification of microRNA (miRNA) is the precondition of discovering the regulatory mechanism of miRNA and developing the cure for genetic diseases. The traditional identificat...
A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes.
Journal of integrative bioinformatics
Dec 22, 2016
Identification of microRNA (miRNA) precursors has seen increased efforts in recent years. The difficulty in experimental detection of pre-miRNAs increased the usage of computational approaches. Most of these approaches rely on machine learning especi...
LBSizeCleav: improved support vector machine (SVM)-based prediction of Dicer cleavage sites using loop/bulge length.
BMC bioinformatics
Nov 25, 2016
BACKGROUND: Dicer is necessary for the process of mature microRNA (miRNA) formation because the Dicer enzyme cleaves pre-miRNA correctly to generate miRNA with correct seed regions. Nonetheless, the mechanism underlying the selection of a Dicer cleav...
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