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関連する概念動画

Viruses with RNA Genomes01:29

Viruses with RNA Genomes

5
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...
5
RNA Interference01:23

RNA Interference

26.0K
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...
26.0K
Experimental RNAi02:15

Experimental RNAi

6.1K
RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
6.1K
Leaky Scanning02:28

Leaky Scanning

5.1K
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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siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

16.6K
Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...
16.6K
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...
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Updated: Jun 10, 2025

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses
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High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses

Published on: May 5, 2014

13.8K

隠されたRNAウイルス圏を記録するために人工知能を使用する.

Xin Hou1, Yong He2, Pan Fang2

  • 1National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.

Cell
|October 10, 2024
PubMed
まとめ
この要約は機械生成です。

新しい深層学習ツールであるLucaProtは,RNA依存型RNAポリメラーゼ配列を分析することで,高度に異なったRNAウイルスを識別します. この発見は,地球規模のウイルス圏と生態系におけるウイルスの多様性についての理解を広げています.

キーワード:
RNAウイルス人工知能ディープラーニング進化についてメタトランスクリプトミクスタンパク質言語モデルウイルスウイルスの発見

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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

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関連する実験動画

Last Updated: Jun 10, 2025

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses
11:34

High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses

Published on: May 5, 2014

13.8K
Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
09:36

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

1.5K

科学分野:

  • ウイルス学
  • バイオ情報学
  • ゲノミクス

背景:

  • メタゲノミクスツールはしばしば高度に異なったRNAウイルスを検出できません.
  • RNA依存型RNAポリメラーゼ (RdRP) は,RNAウイルス複製の鍵となる酵素である.

研究 の 目的:

  • 異なるRNAウイルスの配列を発見するための新しい計算ツールを開発する.
  • 様々な地球規模の生態系における新しいRNAウイルスの多様性と分布を特徴づける.

主な方法:

  • 配列と構造情報を統合するディープラーニングアルゴリズムであるLucaProtの開発.
  • 世界各地の様々な環境からの 10,487 メタトランスクリプトームの分析.
  • RT-PCRとRNA/DNA配列解析を用いた新しいウイルス配列の検証

主要な成果:

  • 161,979の潜在的なRNAウイルス種と180のRNAウイルス超群の特定.
  • 極めて長いRNAウイルスのゲノム (47,250核酸まで) と複雑なゲノム構造を発見した.
  • 空気,温泉,水熱噴出口などの多様な環境における新しいRNAウイルスの検出.

結論:

  • LucaProtは,異なったRNAウイルスの発見を大幅に改善します.
  • この研究は,地球規模のRNAウイルス圏と,その生態学的分布の広大な規模を明らかにしています.
  • コンピューティングツールは,グローバルRNAウイルスの包括的なドキュメント化に不可欠です.