Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

MicroRNAs01:22

MicroRNAs

3.0K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
3.0K
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
RNA Interference01:23

RNA Interference

26.0K
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...
26.0K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
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...
12.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same authorSame journal

Functionally Guided Graph Learning for Robust Cross-Patient Cell-Type Annotation in Single-Cell RNA Sequencing.

Journal of chemical information and modeling·2026
Same author

Evaluation of the therapeutic effect of new hypoglycemic drugs on patients with heart failure with reduced ejection fraction and type 2 diabetes: a systematic review and network meta-analysis.

Frontiers in cardiovascular medicine·2026
Same author

ASTWAS: modeling alternative polyadenylation and SNP effects in kernel-driven TWAS reveal novel genetic associations for complex traits.

Briefings in bioinformatics·2026
Same author

TAPB: an interventional debiasing framework for alleviating target prior bias in drug-target interaction prediction.

Nature communications·2025
Same author

A Multisource Transformer-Guided Graph Representation Learning Framework for circRNA-Disease Association Prediction.

ACS omega·2025
Same author

Survey and analysis of the prevalence of tobacco use among patients with severe mental illness at a tertiary specialized psychiatric medical center in China.

Frontiers in psychiatry·2025

相关实验视频

Updated: Jun 14, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
10:27

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

Published on: October 21, 2022

1.5K

RBNE-CMI:通过多属性不完整的异质网络嵌入预测circRNA-miRNA相互作用的有效方法.

Chang-Qing Yu1, Xin-Fei Wang2, Li-Ping Li3

  • 1School of Information Engineering, Xijing University, Xi'an 710123 China.

Journal of chemical information and modeling
|September 4, 2024
PubMed
概括

这项研究介绍了RBNE-CMI,这是一种用于预测循环RNA-microRNA相互作用的新计算方法. 它有效地模拟不完整的生物网络,提高疾病生物标志物的预测准确性.

更多相关视频

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.3K
Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

611

相关实验视频

Last Updated: Jun 14, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
10:27

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

Published on: October 21, 2022

1.5K
CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.3K
Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

611

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:

  • 循环RNA (circRNA) -microRNA (miRNA) 相互作用 (CMI) 在细胞调节和疾病中至关重要.
  • 准确的CMI预测对于开发新的诊断和治疗策略至关重要.
  • 现有的计算方法与不完整的数据和具有不同属性的分子的大规模建模作斗争.

研究的目的:

  • 开发一种有效的计算方法来预测circRNA-miRNA相互作用.
  • 引入一个嵌入不完整多属性CMI异质网络的框架.
  • 提高CMI预测的效率和性能.

主要方法:

  • 提出了一种名为RBNE-CMI的新方法.
  • 开发了一个框架,以嵌入不完整的多属性CMI异质网络.
  • 将多种CMI数据集集集成到一个统一的不完整网络中进行建模.

主要成果:

  • 与现有模型相比,RBNE-CMI在5倍交叉验证中取得了更高的性能.
  • 该方法即使在完整的数据集上也表现出更好的性能.
  • 在一个案例研究中,成功预测了20个潜在的癌症生物标志物中的18个.

结论:

  • 使用不完整的网络数据,RBNE-CMI为预测circRNA-miRNA相互作用提供了有效的解决方案.
  • 拟议的框架增强了复杂分子相互作用的建模.
  • 这种方法具有显著的潜力,可以通过准确的CMI预测来推进疾病诊断和治疗.