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相关概念视频

RNA Structure01:23

RNA Structure

71.1K
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...
71.1K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K
Nucleic Acid Structure01:25

Nucleic Acid Structure

6.0K
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...
6.0K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

1.8K
1.8K
RNA-seq03:21

RNA-seq

9.8K
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...
9.8K
Nucleic Acids02:43

Nucleic Acids

43.7K
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,...
43.7K

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相关实验视频

Updated: Jun 8, 2025

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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人工智能集成网络用于RNA复杂结构和动态预测.

Haoquan Liu1, Chen Zhuo1, Jiaming Gao1

  • 1Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan 430079, China.

Biophysics reviews
|November 8, 2024
PubMed
概括
此摘要是机器生成的。

网络分析和人工智能 (AI) 正在彻底改变RNA复杂结构研究. 整合这些方法可以增强对RNA相互作用,动态和潜在治疗设计的理解.

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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相关实验视频

Last Updated: Jun 8, 2025

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

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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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科学领域:

  • 计算生物学 计算生物学
  • 结构生物学 结构生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • RNA复合体对于细胞功能至关重要,其作用是由复杂的三级结构和接口动态决定的.
  • 基于图形理论的基于网络的方法在历史上阐明了RNA的静态和动态特性,识别了结合点和构造变化.
  • 人工智能 (AI) 的出现为RNA复杂结构分析提供了新的计算工具.

研究的目的:

  • 审查基于网络的方法与人工智能技术的整合,以更深入地了解RNA复杂结构.
  • 探索这些结合计算方法如何可以建模和分析RNA接口信息和动态行为.
  • 在RNA结构生物学中讨论人工智能增强网络分析的未来方向.

主要方法:

  • 在RNA结构研究中对基于网络的分析和AI应用现有文献的审查.
  • 检查人工智能和网络方法如何在建模RNA复杂接口时相互补充.
  • 分析AI在预测RNA分子内的动态构造变化和功能位点方面的作用.

主要成果:

  • 人工智能与网络分析的整合为RNA复杂结构提供了更准确的模型.
  • 这些综合方法提高了RNA动态行为的预测和功能结合位点的识别.
  • 人工智能驱动的网络分析为设计基于RNA的治疗方法开辟了新的途径.

结论:

  • 人工智能集成网络方法代表了研究RNA复杂结构的强大进步.
  • 这些工具为分析RNA接口细节和动态提供了前所未有的功能.
  • 未来的研究可能会专注于进一步改进RNA结构预测和药物设计的AI网络模型.