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関連する概念動画

Nucleic Acid Structure01:25

Nucleic Acid Structure

7.6K
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...
7.6K
RNA-seq03:21

RNA-seq

10.6K
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...
10.6K
RNA Stability01:53

RNA Stability

34.2K
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...
34.2K
Nucleic Acids02:43

Nucleic Acids

47.0K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
47.0K
Nucleic acids02:43

Nucleic acids

179.2K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
179.2K
Experimental RNAi02:15

Experimental RNAi

6.5K
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...
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関連する実験動画

Updated: Oct 22, 2025

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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RNA構造の幾何学的なディープラーニング

Raphael J L Townshend1, Stephan Eismann1,1,2, Andrew M Watkins3

  • 1Department of Computer Science, Stanford University, Stanford, CA, USA.

Science (New York, N.Y.)
|August 27, 2021
PubMed
まとめ

RNAの構造を予測する 機械学習の方法を開発し 既存のツールを上回りました このアプローチは,最小限のデータを用いて複雑な分子構造を正確にモデル化し,薬剤発見と構造生物学を進めます.

さらに関連する動画

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

Published on: May 31, 2013

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Published on: May 24, 2017

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関連する実験動画

Last Updated: Oct 22, 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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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

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科学分野:

  • 構造生物学
  • コンピュータ化学
  • 機械学習

背景:

  • 3次元RNA構造は 生物学的機能と薬物の発見に不可欠です
  • これらの複雑な構造を計算的に予測することは 重要な課題です

研究 の 目的:

  • 正確なRNA構造予測のための機械学習アプローチを開発する.
  • ディープラーニングモデルのデータ制限を克服する得点関数を作成します.

主な方法:

  • 原子座標を入力として使った 機械学習アプローチを導入した.
  • RNA固有の仮定なしに原子回転等価スコア (ARES) を開発した.
  • 18の既知のRNA構造の限られたデータセットでモデルを訓練した.

主要な成果:

  • ARESのスコア付け機能は,以前のRNA構造予測方法を大幅に上回りました.
  • このアプローチはコミュニティ全体の 盲目の予測の課題で 最高のパフォーマンスを達成しました
  • 標準的な深層ニューラルネットワークよりも重要な利点である小さなデータセットから効果的な学習が示されています.

結論:

  • 開発された機械学習アプローチは,正確なRNA構造の予測を可能にします.
  • ARESは 薬の発見と構造生物学の研究に 強力なツールを提供します
  • この方法の適用範囲は,RNA構造を超えて様々な科学分野に及ぶ.