相关实验视频

Updated: Jun 23, 2025

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

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NPI-DCGNN:使用双通道图形神经网络识别ncRNA-蛋白相互作用的准确工具

Xin Zhang1, Liangwei Zhao1, Ziyi Chai1

  • 1College of Information Engineering, Northwest A&F University, Yangling, China.

Journal of computational biology : a journal of computational molecular cell biology
|June 26, 2024
PubMed
概括

我们开发了一种新的双通道图形神经网络NPI-DCGNN,用于准确预测非编码RNA (ncRNA) - 蛋白相互作用 (NPI). 这种方法通过比现有的工具更有效地利用图形信息来增强NPI识别.

关键词:
它是双频道的双通道.图表神经网络的神经网络ncRNA与蛋白质的相互作用没有编码的RNA.

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相关概念视频

Protein Networks02:26

Protein Networks

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 Interfaces

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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