Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

RNA Structure01:23

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
RNA Interference01:23

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
RNA Structure01:23

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
RNA Structure01:19

RNA Structure

The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA has a double-helix structure. The...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Spinal Anesthesia Alone for Perineal Surgery in an Austere Shipboard Setting: A Case Series on Enhancing Safety and Resource Utilization.

Military medicine·2026
Same author

Occult rat hepatitis E virus infection as a cause of cirrhosis and posttransplant recurrence: Insights into the role of metagenomics.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2026
Same author

Editorial: When Yeast Turns Beast-Unmasking an Overlooked Threat in Alcohol-Related Hepatitis. Authors' Reply.

Alimentary pharmacology & therapeutics·2025
Same author

Endowing protein language models with structural knowledge.

Bioinformatics (Oxford, England)·2025
Same author

The 'social gradient' in primary liver cancer in France: A national observational study.

JHEP reports : innovation in hepatology·2025
Same author

Cystic fibrosis liver disease progression in the era of elexacaftor-tezacaftor-ivacaftor.

JHEP reports : innovation in hepatology·2025

相关实验视频

Updated: May 8, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K

RNAmigos2:加快基于结构的RNA虚拟选与深度图形学习

Juan G Carvajal-Patiño1,2, Vincent Mallet3,4,5,6, David Becerra1,2

  • 1School of Computer Science, McGill University, Montréal, QC, Canada.

Nature communications
|March 22, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了一种快速,数据驱动的深度学习方法,用于RNA药物标查. 这种基于结构的虚拟查 (VS) 方法显著加速了针对RNA标的潜在候选药物的识别.

更多相关视频

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

3.9K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

587

相关实验视频

Last Updated: May 8, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K
Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

3.9K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

587

科学领域:

  • 生物化学 生化学
  • 计算生物学 计算生物学
  • 药物发现 药物发现 药物发现

背景情况:

  • 核糖核酸 (RNA) 是潜在药物标的重要来源.
  • 基于结构的虚拟查 (VS) 对于识别候选药物至关重要,但在RNA目标和大型化合物库方面面临挑战.
  • 目前用于RNA VS的机器学习应用程序受到数据稀缺和不充分的验证的限制.

研究的目的:

  • 开发和验证一个新的,数据驱动的VS管道,专门用于RNA目标.
  • 为了克服传统分子对接的局限性,进行大规模的RNA查.
  • 确定深度学习在基于结构的RNA药物发现中的有效性.

主要方法:

  • 使用粗粒度3D建模和RNA特异性自我监督实现一个VS管道.
  • 使用合成数据增强来增强模型训练.
  • 采用深度学习模型,快速选化合物库与RNA结构.

主要成果:

  • 与传统的对接方法相比,实现了1万倍的加快速度.
  • 在多种不同的RNA结构中,始终将活性化合物排在2.8%的前列.
  • 证明了对结合点变化的稳定性.
  • 在一个体外微阵列 (20,000个化合物) 中成功选了新型RNA核糖转换器,平均丰富系数为2.93在1%.

结论:

  • 开发的深度学习管道为基于结构的RNAVS提供了高效和准确的方法.
  • 这项工作代表了对RNA VS.基于结构的深度学习的首次实验验证.
  • 这种方法显著提升了发现向RNA分子的药物的潜力.