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相关概念视频

RNA Interference01:23

RNA Interference

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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...
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RNA Structure01:23

RNA Structure

79.1K
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...
79.1K
RNA Stability01:53

RNA Stability

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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...
35.7K
RNA Splicing01:32

RNA Splicing

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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...
60.6K
RNA Editing02:23

RNA Editing

9.9K
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...
9.9K
Eukaryotic RNA Polymerases00:58

Eukaryotic RNA Polymerases

27.1K
RNA Polymerase (RNAP) is conserved in all animals, with bacterial, archaeal, and eukaryotic RNAPs sharing significant sequence, structural, and functional similarities. Among the three eukaryotic RNAPs, RNA Polymerase II is most similar to bacterial RNAP in terms of both structural organization and folding topologies of the enzyme subunits. However, these similarities are not reflected in their mechanism of action.
All three eukaryotic RNAPs require specific transcription factors, of which the...
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相关实验视频

Updated: Feb 5, 2026

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

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深度学习框架用于使用RNA语言模型嵌入的RNA 5hmC预测.

Md Muhaiminul Islam Nafi1,2

  • 1Department of CSE, BUET, Dhaka, Bangladesh.

PloS one
|February 3, 2026
PubMed
概括

预测RNA5-氧甲基细胞因子 (5hmC) 修饰对于理解基因调节和疾病至关重要. 一个新的深度学习模型,InTrans-RNA5hmC,准确地识别这些表观遗传标记,优于现有的方法.

科学领域:

  • 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
  • 分子生物学分子生物学
  • 计算生物学 计算生物学

背景情况:

  • 核糖核酸 (RNA) 5-氧甲基细胞素 (5hmC) 修改影响基因表达和表观遗传调节.
  • 这些修改涉及到各种人类疾病,如癌症和糖尿病.
  • 目前用于识别RNA 5hmC的实验方法昂贵且耗时,需要计算方法.

研究的目的:

  • 开发一个准确的计算模型来预测RNA 5hmC修饰.
  • 为了完成这个任务,比较各种功能描述符和深度学习架构.
  • 了解邻近分析在RNA 5hmC修饰预测中的作用.

主要方法:

  • 功能描述符的分析和选择.
  • 探索不同的深度学习模型.
  • 开发一个双分支深度学习模型 (InTrans-RNA5hmC),结合Inception和Transformer架构.
  • 使用词嵌入和RiboNucleic Acid语言模型 (RiNALMo) 嵌入作为特征描述符.

主要成果:

  • 与最先进的方法相比,InTrans-RNA5hmC模型表现出卓越的性能.
  • 在一个独立的测试组中实现了高度指标:0.97灵敏度,0.985平衡精度和0.985F1得分.

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Last Updated: Feb 5, 2026

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Constructing and Visualizing Models using Mime-based Machine-learning Framework
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  • 邻近分析提供了对RNA 5hmC修饰模式的见解.
  • 结论:

    • 拟议的InTrans-RNA5hmC模型提供了一种高效和准确的计算方法,用于预测RNA 5hmC的修饰.
    • 这一进步可以帮助疾病研究和生物标志物发现.
    • 这项研究强调了深度学习在理解复杂表观遗传修饰方面的潜力.