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相关概念视频

Leaky Scanning02:28

Leaky Scanning

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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Viruses with RNA Genomes01:29

Viruses with RNA Genomes

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RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
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RNA-seq03:21

RNA-seq

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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...
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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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Translational Regulation01:29

Translational Regulation

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Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
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Viral Mutations00:36

Viral Mutations

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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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相关实验视频

Updated: Jan 10, 2026

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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根据RNA语言模型预测SARS-CoV-2基因组相互作用.

Weiwei Shen1,2,3, Yixue Li2,3,4,5,6, Liucun Zhu1

  • 1School of Life Sciences, Shanghai University, Shanghai 200444, China.

Biosafety and health
|November 20, 2025
PubMed
概括

机器学习使用vRIC-Seq数据准确预测严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) RNA-RNA相互作用. 这种计算方法增强了对病毒功能的理解,并有助于治疗的发展.

关键词:
深度RAM 深度RAM 是一个深度RAM.一次性编码即可.RNA语言模型RNA语言模型一个RNA序列的RNA序列.在 RNAErnieErnie 中.核糖核酸 (RNA) -RNA相互作用严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 基因组在Word2Vec中使用.

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科学领域:

  • 病毒学 病毒学
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 依赖于复制和宿主细胞参与的复杂RNA-RNA相互作用.
  • 了解这些病毒RNA相互作用是破译病毒调节和免疫逃避策略的关键.

研究的目的:

  • 应用机器学习技术来分析和预测SARS-CoV-2基因组内的RNA-RNA相互作用.
  • 评估各种计算模型在识别病毒RNA-RNA相互作用方面的有效性.

主要方法:

  • 使用的病毒RNA在位构成测序 (vRIC-Seq) 数据.
  • 采用机器学习算法,包括One-hot编码,Word2Vec,神经网络和RNAErnie语言模型.

主要成果:

  • 在识别RNA-RNA相互作用的存在或不存在方面取得了显著的预测准确性.
  • 证明了先进的计算模型在分析复杂的病毒RNA网络中的有效性.

结论:

  • 开发的机器学习框架为研究冠状病毒和其他病毒中的RNA-RNA相互作用提供了一种新的方法.
  • 这项研究通过提高对病毒生物学的理解,为开发向抗病毒疗法开辟了新的途径.