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相关概念视频

RNA Interference01:23

RNA Interference

28.4K
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...
28.4K
RNA-seq03:21

RNA-seq

12.3K
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...
12.3K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

10.0K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K
Types of RNA01:20

Types of RNA

10.2K
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...
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Types of RNA01:23

Types of RNA

73.5K
Overview
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 the regulation of 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...
73.5K
Nucleic Acid Structure01:25

Nucleic Acid Structure

9.8K
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...
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相关实验视频

Updated: Mar 7, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
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Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

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对非编码RNA配对相互作用的计算理解.

Marco Nicolini1, Federico Stacchietti1, Elena Casiraghi1,2,3,4

  • 1AnacletoLab, Dipartimento di Informatica, Universitá degli Studi di Milano, Milan, Italy.

Frontiers in artificial intelligence
|March 6, 2026
PubMed
概括
此摘要是机器生成的。

一个新的深度学习框架,CUPID,从序列数据中预测非编码RNA (ncRNA) 相互作用. 这个工具通过绘制复杂的ncRNA网络来提高对RNA调节的理解.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.精细调整 精细调整大型语言模型.机器学习是机器学习.ncRNA-ncRNA 相互作用没有编码的RNA.

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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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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: Mar 7, 2026

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
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Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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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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科学领域:

  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 非编码RNAs (ncRNAs) 在细胞调节中起着至关重要的作用.
  • ncRNA 之间的双对相互作用是复杂的,并且很难通过实验来研究.
  • 目前用于识别ncRNA相互作用的方法有限.

研究的目的:

  • 开发一个用于预测ncRNA-ncRNA相互作用的计算框架.
  • 克服实验方法和热力学模型的局限性.
  • 为探索ncRNA相互作用网络创建一个可扩展的工具.

主要方法:

  • 使用了一个名为CUPID的深度学习框架 (ncRNA数据中的对互动的计算理解).
  • 从预先训练的RNA语言模型中使用嵌入式.
  • 结合语言模型嵌入具有用于模式识别的前分类器.

主要成果:

  • CUPID可以直接从初级序列信息中预测ncRNA-ncRNA相互作用.
  • 该框架避免依赖热力学模型或手动特征工程.
  • CUPID在各种ncRNA类型 (长非编码,圆形,微型和小核RNA) 中展示了泛化.

结论:

  • CUPID提供了一个可扩展的方法来绘制ncRNA交互网络.
  • 该框架促进了对基于RNA的基因调节的理解.
  • 这种深度学习方法有助于探索未知ncRNA关系.