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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Nucleic Acid Structure01:25

Nucleic Acid Structure

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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...
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RNA Interference01:23

RNA Interference

27.7K
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...
27.7K
Nucleic Acids02:43

Nucleic Acids

49.5K
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,...
49.5K
Types of RNA01:20

Types of RNA

9.0K
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: Jan 12, 2026

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Published on: July 9, 2021

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机器学习方法用于预测RNA-RNA/DNA相互作用

Tsukasa Fukunaga1

  • 1Graduate School of Advanced Science and Engineering, Waseda University, Tokyo, Japan. fukunaga@aoni.waseda.jp.

Methods in molecular biology (Clifton, N.J.)
|November 1, 2025
PubMed
概括
此摘要是机器生成的。

机器学习模型现在可以预测RNA-RNA/DNA相互作用,这对于非编码RNA功能至关重要. 这些先进的工具比旧的方法更准确,有助于RNA研究.

关键词:
深度学习是一种深度学习.机器学习 机器学习没有编码的RNA.一个RNA三重复的RNA.RNARNA 相互作用

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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相关实验视频

Last Updated: Jan 12, 2026

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
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Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

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科学领域:

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

背景情况:

  • 非编码RNA (ncRNA) 在细胞过程中起着关键作用,但它们的功能通常是由RNA-RNA和RNA-DNA相互作用决定的.
  • 预测这些相互作用对于破译ncRNA机制至关重要.
  • 深度学习和高通量测序的近期进展使复杂的计算工具的开发成为可能.

研究的目的:

  • 审查用于预测RNA-RNA和RNA-DNA相互作用的机器学习方法.
  • 突出各种RNA家族和相互作用类型的代表性工具.
  • 讨论当前基于机器学习的预测方法的优点和局限性.

主要方法:

  • 关于机器学习应用在RNA相互作用预测中的现有文献的审查.
  • 基于RNA家族 (例如,原生小RNA,miRNA,lncRNA) 和相互作用类型 (RNA-RNA,RNA-DNA) 的工具的分类.
  • 机器学习方法与传统基于能源的方法的比较.

主要成果:

  • 与传统方法相比,机器学习模型对RNA-RNA/DNA相互作用的预测准确度有所提高.
  • 针对不同的RNA相关任务,介绍了TargetRNA3,CheRRI,DeepMirTar,snoGloBe,triplexFPP和CRISOT等特定工具.
  • 主要挑战包括防止过度装配和第三方验证的必要性.

结论:

  • 机器学习显著提高了RNA-RNA/DNA相互作用的预测,促进了对ncRNA功能的理解.
  • 需要进一步开发,以解决过度装配问题,并改善通用化以获得更广泛的适用性.
  • 未来的进展可能会导致RNA研究更强大,更可靠的工具.