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相关概念视频

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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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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RNA Structure01:19

RNA Structure

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The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. 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) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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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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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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相关实验视频

Updated: Sep 9, 2025

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

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diPaRIS:使用U形网络和新型结构编码进行动态和可解释的蛋白质-RNA相互作用预测

Lishen Zhang1,2,3, Chengqian Lu4, Xiaoqing Peng5

  • 1School of Computer Science and Engineering, Central South University, Changsha, 410083, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|August 29, 2025
PubMed
概括

diPaRIS是一种深度学习工具,通过集成体内RNA结构,准确预测动态蛋白-RNA相互作用. 这种方法有助于更好地了解基因与疾病的联系和生物过程.

关键词:
蛋白与RNA的相互作用编码RNA结构深度学习可以解释的分析

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

Last Updated: Sep 9, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

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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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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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科学领域:

  • 分子生物学
  • 计算生物学
  • 基因组学

背景情况:

  • 蛋白质-RNA相互作用对于生物过程和疾病至关重要.
  • 现有的计算方法难以捕捉RNA结构中的核酸相关性.
  • 准确预测这些相互作用对于理解基因功能和疾病至关重要.

研究的目的:

  • 开发一个深度学习方法,diPaRIS,用于预测动态蛋白质-RNA相互作用.
  • 提高蛋白质-RNA相互作用预测的准确性和可解释性.
  • 整合体内RNA结构信息以提高预测能力.

主要方法:

  • 开发了使用U形网络架构的深度学习模型diPaRIS.
  • 介绍了SHAPE-seq数据的新编码方案,以捕获核酸相关性.
  • 综合体内RNA结构以提供全面的表现.

主要成果:

  • 在44个数据集中,diPaRIS表现出卓越的性能,实现了高精度,AUC,AUPR和F1得分.
  • 该模型在跨细胞线预测方面表现出色, 超过现有方法.
  • 生成可解释的分析,包括序列绑定动机和归因地图.

结论:

  • diPaRIS可以准确预测动态蛋白- RNA相互作用,并提高可解释性.
  • 该方法提供了对保存的结合模式和遗传变异的功能解释的见解.
  • 这些发现有助于理解复杂疾病中的基因疾病关联.