AIMC Topic: RNA

Clear Filters Showing 241 to 250 of 332 articles

DeepRNA-Twist: language-model-guided RNA torsion angle prediction with attention-inception network.

Briefings in bioinformatics May 1, 2025
RNA torsion and pseudo-torsion angles are critical in determining the three-dimensional conformation of RNA molecules, which in turn governs their biological functions. However, current methods are limited by RNA's structural complexity as well as fl...
Computational Biology RNA Nucleic Acid Conformation Software Deep Learning
View on PubMed DOI

DRLiPS: a novel method for prediction of druggable RNA-small molecule binding pockets using machine learning.

Nucleic acids research Mar 20, 2025
Ribonucleic Acid (RNA) is the central conduit for information transfer in the cell. Identifying potential RNA targets in disease conditions is a challenging task, given the vast repertoire of functional non-coding RNAs in a human cell. A potential dr...
Molecular Docking Simulation RNA Ligands Software Algorithms Nucleic Acid Conformation Binding Sites Humans Machine Learning
View on PubMed DOI

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery.

Briefings in bioinformatics Mar 4, 2025
RNA biomarkers enable early and precise disease diagnosis, monitoring, and prognosis, facilitating personalized medicine and targeted therapeutic strategies. However, identification of RNA biomarkers is hindered by the challenge of analyzing relative...
Humans Artificial Intelligence Machine Learning Gene Expression Profiling Biomarkers Biostatistics Software Computational Biology RNA Biomarkers, Tumor Algorithms
View on PubMed DOI

DRAG: design RNAs as hierarchical graphs with reinforcement learning.

Briefings in bioinformatics Mar 4, 2025
The rapid development of RNA vaccines and therapeutics puts forward intensive requirements on the sequence design of RNAs. RNA sequence design, or RNA inverse folding, aims to generate RNA sequences that can fold into specific target structures. To d...
Computational Biology RNA Nucleic Acid Conformation Machine Learning Algorithms Neural Networks, Computer
View on PubMed DOI

The Evolution of Nucleic Acid-Based Diagnosis Methods from the (pre-)CRISPR to CRISPR era and the Associated Machine/Deep Learning Approaches in Relevant RNA Design.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Nucleic acid tests (NATs) are considered as gold standard in molecular diagnosis. To meet the demand for onsite, point-of-care, specific and sensitive, trace and genotype detection of pathogens and pathogenic variants, various types of NATs have been...
Clustered Regularly Interspaced Short Palindromic Repeats CRISPR-Cas Systems RNA Deep Learning Molecular Diagnostic Techniques Nucleic Acid Amplification Techniques Humans Machine Learning
View on PubMed DOI

Generative Modeling of RNA Sequence Families with Restricted Boltzmann Machines.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
In this chapter, we discuss the potential application of Restricted Boltzmann machines (RBM) to model sequence families of structured RNA molecules. RBMs are a simple two-layer machine learning model able to capture intricate sequence dependencies in...
Software Algorithms Models, Molecular RNA Computational Biology Machine Learning Nucleic Acid Conformation Riboswitch
View on PubMed DOI

gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Fundamental to the diverse biological functions of RNA are its 3D structure and conformational flexibility, which enable single sequences to adopt a variety of distinct 3D states. Currently, computational RNA design tasks are often posed as inverse p...
Computational Biology Neural Networks, Computer Nucleic Acid Conformation Software Models, Molecular RNA, Catalytic RNA Deep Learning
View on PubMed DOI

Machine Learning for RNA Design: LEARNA.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Machine learning algorithms, and in particular deep learning approaches, have recently garnered attention in the field of molecular biology due to remarkable results. In this chapter, we describe machine learning approaches specifically developed for...
Computational Biology RNA Nucleic Acid Conformation Algorithms Deep Learning Machine Learning Software
View on PubMed DOI

DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.

Bioinformatics (Oxford, England) Nov 28, 2024
MOTIVATION: RNA is implicated in numerous aberrant cellular functions and disease progressions, highlighting the crucial importance of RNA-targeted drugs. To accelerate the discovery of such drugs, it is essential to develop an effective computationa...
Computational Biology Software RNA Deep Learning Small Molecule Libraries
View on PubMed DOI

Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.

Briefings in bioinformatics Sep 23, 2024
RNA 2'-O-methylation (Nm) is a crucial post-transcriptional modification with significant biological implications. However, experimental identification of Nm sites is challenging and resource-intensive. While multiple computational tools have been de...
Computational Biology Bayes Theorem Methylation RNA Processing, Post-Transcriptional Software RNA Humans Deep Learning Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals