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相关概念视频

Nucleic Acid Structure01:25

Nucleic Acid Structure

6.0K
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...
6.0K
RNA-seq03:21

RNA-seq

9.8K
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...
9.8K
RNA Stability01:53

RNA Stability

33.3K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
33.3K
Nucleic Acids02:43

Nucleic Acids

43.9K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
43.9K
Types of RNA01:20

Types of RNA

5.7K
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in regulating gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA Performs Diverse...
5.7K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.5K

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相关实验视频

Updated: Jun 11, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.4K

通过结构意识深度学习来预测RNA序列结构概率.

You Zhou1,2, Giulia Pedrielli3,4, Fei Zhang5

  • 1School of Computing and Augmented Intelligence, Arizona State University, 699 S Mill Ave, Tempe, AZ, 85281, USA.

BMC bioinformatics
|September 30, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了两个深度学习模型,NU-ResNet和NUMO-ResNet,用于评估RNA序列结构对. 这些模型通过结合核酸和结构动图特征来改进RNA设计,优于现有方法.

关键词:
深度学习是一种深度学习.这是一个RNARNARNARNARNA.二级结构预测预测二级结构预测

更多相关视频

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

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

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相关实验视频

Last Updated: Jun 11, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.4K
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

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
11:32

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Published on: May 24, 2017

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 机器学习 机器学习

背景情况:

  • RNA的功能严重依赖于它的序列和结构.
  • 准确的RNA序列结构对评估对研究人员来说至关重要.
  • 现有的机器学习模型面临的挑战是特征选择和特征化范围.

研究的目的:

  • 开发先进的深度学习模型,用于评估RNA序列结构对.
  • 为了解决RNA特征表征的特征工程方面的局限性.
  • 通过改进的建模,提高RNA设计过程的有效性.

主要方法:

  • 开发了NU-ResNet,一个卷积神经网络模型,将RNA序列结构信息编码到3D矩阵中.
  • 开发了NUMO-ResNet,基于NU-ResNet,结合了通过自动化方法提取的2D折叠图案.
  • 对独立数据集和通过十倍交叉验证评估模型性能.

主要成果:

  • 与独立测试数据集的现有文献模型相比,NU-ResNet和NUMO-ResNet都表现出优异的性能.
  • 模型在不同RNA家族中显示出强大的性能,表明强大的泛化能力.
  • 结合核酸水平和结构动图特征,提高了预测准确度.

结论:

  • 引入了NU-ResNet和NUMO-ResNet,这是用于RNA序列二级结构评估的新型深度学习模型.
  • 这些模型代表了RNA研究数据驱动方法的进步.
  • 提出了编码RNA序列结构对的新方法,促进了更好的RNA设计.