AIMC Topic: RNA

Clear Filters Showing 301 to 310 of 355 articles

Deep learning identifies A-to-I RNA edits using nanopore sequencing data.

Nature methods Jul 1, 2022
Deep Learning Nanopores Nanopore Sequencing RNA High-Throughput Nucleotide Sequencing
View on PubMed DOI

Rapid and accurate identification of ribosomal RNA sequences via deep learning.

Nucleic acids research Jun 10, 2022
Advances in transcriptomic and translatomic techniques enable in-depth studies of RNA activity profiles and RNA-based regulatory mechanisms. Ribosomal RNA (rRNA) sequences are highly abundant among cellular RNA, but if the target sequences do not inc...
RNA, Ribosomal RNA Metagenomics Software Deep Learning
View on PubMed DOI

A tool for feature extraction from biological sequences.

Briefings in bioinformatics May 13, 2022
With the advances in sequencing technologies, a huge amount of biological data is extracted nowadays. Analyzing this amount of data is beyond the ability of human beings, creating a splendid opportunity for machine learning methods to grow. The metho...
DNA RNA Machine Learning Proteins Sequence Analysis Humans
View on PubMed DOI

S2Snet: deep learning for low molecular weight RNA identification with nanopore.

Briefings in bioinformatics May 13, 2022
Ribonucleic acid (RNA) is a pivotal nucleic acid that plays a crucial role in regulating many biological activities. Recently, one study utilized a machine learning algorithm to automatically classify RNA structural events generated by a Mycobacteriu...
Plant Extracts RNA Deep Learning Molecular Weight Nanopores
View on PubMed DOI

RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction.

Briefings in bioinformatics May 13, 2022
Different ribonucleic acids (RNAs) can interact to form regulatory networks that play important role in many life activities. Molecular biology experiments can confirm RNA-RNA interactions to facilitate the exploration of their biological functions, ...
RNA RNA Interference Neural Networks, Computer Machine Learning
View on PubMed DOI

PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.

Bioinformatics (Oxford, England) Apr 12, 2022
MOTIVATION: Protein-RNA interactions play essential roles in many biological processes, including pre-mRNA processing, post-transcriptional gene regulation and RNA degradation. Accurate identification of binding sites on RNA-binding proteins (RBPs) i...
Membrane Proteins RNA Binding Sites Computational Biology RNA-Binding Proteins Deep Learning Protein Binding
View on PubMed DOI

UFold: fast and accurate RNA secondary structure prediction with deep learning.

Nucleic acids research Feb 22, 2022
For many RNA molecules, the secondary structure is essential for the correct function of the RNA. Predicting RNA secondary structure from nucleotide sequences is a long-standing problem in genomics, but the prediction performance has reached a platea...
Deep Learning Humans RNA Algorithms Nucleic Acid Conformation Base Pairing
View on PubMed DOI

Protein-RNA interaction prediction with deep learning: structure matters.

Briefings in bioinformatics Jan 17, 2022
Protein-RNA interactions are of vital importance to a variety of cellular activities. Both experimental and computational techniques have been developed to study the interactions. Because of the limitation of the previous database, especially the lac...
RNA-Binding Proteins Protein Conformation Deep Learning Algorithms RNA Computational Biology Binding Sites
View on PubMed DOI

DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.

Briefings in bioinformatics Jan 17, 2022
Proteins with intrinsically disordered regions (IDRs) are common among eukaryotes. Many IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported by computational predictors, but to date, only one tool that predicts...
Intrinsically Disordered Proteins Nucleic Acids DNA-Binding Proteins Deep Learning RNA Protein Binding Humans Neural Networks, Computer Computational Biology RNA-Binding Proteins Proteome DNA
View on PubMed DOI

NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences.

Briefings in bioinformatics Jan 17, 2022
2'-O-methylation (Nm) is a post-transcriptional modification of RNA that is catalyzed by 2'-O-methyltransferase and involves replacing the H on the 2'-hydroxyl group with a methyl group. The 2'-O-methylation modification site is detected in a variety...
Humans Machine Learning Computational Biology RNA Methylation Base Sequence
View on PubMed DOI
Popular Topics
Recent Journals