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相关概念视频

RNA Structure01:23

RNA Structure

70.9K
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...
70.9K
Nucleic Acid Structure01:25

Nucleic Acid Structure

5.9K
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...
5.9K
RNA Stability01:53

RNA Stability

33.2K
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...
33.2K
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 Editing02:23

RNA Editing

8.9K
RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
8.9K
Types of RNA01:23

Types of RNA

63.1K
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...
63.1K

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相关实验视频

Updated: May 28, 2025

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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深度学习用于RNA结构预测.

Jiuming Wang1, Yimin Fan1, Liang Hong1

  • 1Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.

Current opinion in structural biology
|February 11, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 和深度学习方法正在彻底改变RNA结构预测,比传统的计算方法提供更高的准确性和效率. 本综述总结了人工智能应用,进步和预测RNA二次结构的未来机会.

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.预测RNA结构 预测RNA结构

更多相关视频

RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

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Analyzing and Building Nucleic Acid Structures with 3DNA
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Analyzing and Building Nucleic Acid Structures with 3DNA

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相关实验视频

Last Updated: May 28, 2025

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

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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Analyzing and Building Nucleic Acid Structures with 3DNA
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Analyzing and Building Nucleic Acid Structures with 3DNA

Published on: April 26, 2013

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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.
  • 分子生物学分子生物学

背景情况:

  • 实验性RNA结构的确定是昂贵和耗时的.
  • 计算方法对于从序列中预测RNA结构至关重要.
  • 人工智能的最新进展显著提高了RNA结构预测的准确性和效率.

研究的目的:

  • 审查人工智能 (AI) 的应用,特别是深度学习,在RNA结构预测中.
  • 要总结人工智能驱动的RNA结构预测的方法进步.
  • 突出现有挑战和未来在该领域的机遇.

主要方法:

  • 对人工智能和深度学习模型用于RNA结构预测的现有文献的审查.
  • 分析各种人工智能模型使用的方法.
  • 对准确性,效率和局限性的发现进行综合.

主要成果:

  • 人工智能,特别是深度学习,在RNA结构预测方面取得了显著的改进.
  • 已经成功地应用了各种深度学习架构,显示了增强的性能.
  • 该审查确定了基于AI的RNA结构预测中的关键趋势和新兴技术.

结论:

  • 人工智能和深度学习是RNA结构预测的变革性工具.
  • 需要继续进行研究,以应对剩余的挑战,并探索新的机会.
  • 该领域正在迅速发展,未来有望更准确,更有效地预测RNA结构.