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相关概念视频

Nucleic Acid Structure01:25

Nucleic Acid Structure

7.2K
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...
7.2K
RNA Stability01:53

RNA Stability

34.0K
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...
34.0K
RNA-seq03:21

RNA-seq

10.4K
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...
10.4K
Chromatin Structure and RNA Splicing02:41

Chromatin Structure and RNA Splicing

2.8K
2.8K
RNA Splicing01:32

RNA Splicing

57.2K
Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
57.2K
Types of RNA01:20

Types of RNA

6.6K
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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相关实验视频

Updated: Sep 19, 2025

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

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通过整合深度学习和结构上下文分析进行增强的RNA二次结构预测.

Yongtian Wang1,2,3, Yewei Shen1,3, Jiahao Li1,3

  • 1School of Computer Science, Northwestern Polytechnical University, 1 Dongxiang Rd, Xi'an 710129, China.

Nucleic acids research
|June 18, 2025
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概括
此摘要是机器生成的。

本研究介绍了DSRNAFold,这是一种新的机器学习模型,通过整合序列和结构上下文来改进RNA二次结构预测. 阶段式学习策略提高了准确性和稳定性,特别是在复杂的结构,如伪结.

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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科学领域:

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

背景情况:

  • 对RNA的二次结构分析对于理解RNA的功能至关重要.
  • 目前的实验方法是低通量和资源密集型的.
  • 机器学习模型显示出前景,但面临着数据稀缺和过度匹配的挑战.

研究的目的:

  • 开发一个强大的机器学习模型,用于准确的RNA二次结构预测.
  • 解决现有方法的局限性,包括过和处理复杂的相互作用.
  • 改进伪结识别和化学测绘活动的预测.

主要方法:

  • 引入了分阶段学习策略,整合了RNA序列和结构上下文.
  • 使用配对约束来训练模型的折叠得分.
  • 开发了DSRNAFold,这是一种用于RNA结构预测的新型计算模型.

主要成果:

  • 与现有方法相比,DSRNAFold模型表现出优越的性能.
  • 阶段性学习策略有效地缓解了过度装配.
  • 在伪结识和化学映射活动预测方面观察到显著的改进.

结论:

  • DSRNAFold为RNA二次结构预测提供了一种更强大,更准确的方法.
  • 综合学习策略有效地处理本地和远程核酸相互作用.
  • 这种方法推进了RNA结构分析和功能阐释领域.