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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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Rab Cascades01:25

Rab Cascades

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Rab GTPases act in a regulated cascade during membrane fusion, helping the lipid bilayers mix. The Rab family of proteins are active when bound to GTP, and inactive when bound to GDP. Hence, they act as guanine nucleotide-dependent molecular switches. Rab-GTP recognizes and binds to long or short-range tethering proteins to capture the target vesicle. These tethers coordinate with SNAREs on the vesicle and the target membrane to assemble the trans SNARE complex that locks the mixing bilayers.
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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RNA-seq03:21

RNA-seq

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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. 
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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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相关实验视频

Updated: Sep 11, 2025

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

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GGCRB:一种图形神经网络方法,用于使用结构和序列特征预测circRNA-RBP相互作用.

Guangyi Tang1, Hongyuan Xing1, Dengju Yao1

  • 1School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China.

ACS omega
|August 11, 2025
PubMed
概括

GGCRB是一个新的深度学习框架,通过整合序列和结构特征,准确地预测循环RNA-RNA-结合蛋白相互作用. 这种方法增强了对基因调节的理解和计算预测效率.

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Identification of Circular RNAs using RNA Sequencing
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相关实验视频

Last Updated: Sep 11, 2025

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

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 循环RNAs (circRNAs) 和RNA结合蛋白 (RBPs) 对于基因调节至关重要.
  • 实验性识别circRNA-RBP相互作用是资源密集型和低效的.
  • 现有的计算方法往往忽视 circRNA 的结构特征,限制了预测的准确性.

研究的目的:

  • 开发一个先进的计算框架,GGCRB,用于预测circRNA-RBP结合位点.
  • 整合circRNAs的序列和结构信息,以改善预测.
  • 通过结合结构特征来克服当前方法的局限性.

主要方法:

  • GGCRB使用多个序列编码方案 (HFN,ND,NCP,DPCP,Doc2Vec) 和卷积层.
  • 使用RNA结构提取结构特征,并通过图形卷积和注意力网络建模.
  • 双向LSTM和多头注意力模块捕获全球交互,然后进行聚合和软max进行预测.

主要成果:

  • 与现有模型相比,GGCRB在16个基准数据集中表现出卓越的性能.
  • 废弃性研究证实了序列和结构特征的贡献.
  • 动机分析验证了预测的相互作用的生物学相关性.

结论:

  • 整合序列和结构信息对于准确的circRNA-RBP相互作用预测至关重要.
  • GGCRB提供了一种强大而有效的计算工具,用于研究circRNA-RBP结合.
  • 该框架推进了我们对通过circRNA-RBP复合体调节的基因调节的理解.