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相关概念视频

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
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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...
12.4K
Conserved Binding Sites01:49

Conserved Binding Sites

4.1K
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...
4.1K
Protein Organization01:24

Protein Organization

6.2K
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....
6.2K
Ligand Binding Sites02:40

Ligand Binding Sites

12.7K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
12.7K
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

6.8K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
6.8K

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相关实验视频

Updated: May 27, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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使用网络引导的深度学习来预测RNA-蛋白相互作用.

Haoquan Liu1, Yiren Jian2, Chen Zeng3

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

Communications biology
|February 16, 2025
PubMed
概括
此摘要是机器生成的。

一个新的计算工具ZHMolGraph使用图形神经网络和语言模型准确预测RNA-蛋白相互作用. 它显著优于现有方法,特别是对于未知的RNA和蛋白质对.

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Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
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相关实验视频

Last Updated: May 27, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
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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.
  • 结构生物学 结构生物学

背景情况:

  • 通过计算来预测RNA-蛋白相互作用 (RPI) 是很困难的,特别是在新型RNA和蛋白质方面.
  • 现有的深度学习模型由于已知RNA的数量有限和灵活性有限而扎.

研究的目的:

  • 开发ZHMolGraph,一种用于预测RNA-蛋白相互作用的先进计算方法.
  • 提高RPI预测的准确性和可靠性,特别是对于新型分子实体.

主要方法:

  • 图形神经网络 (GNN) 和无监督的大型语言模型 (LLM) 的集成.
  • 对基准数据集的验证和应用于SARS-CoV-2 RPI和未绑定的复杂预测.

主要成果:

  • 在基准数据集上,ZHMolGraph显著超过当前最先进的方法.
  • 在完全未知的RNA和蛋白质的数据集上实现了高AUROC (79.8%) 和AUPRC (82.0%),显示了显著的改进.
  • 证明了SARS-CoV-2 RPI和未结合的RNA-蛋白质复合体的增强预测准确性.

结论:

  • ZHMolGraph为全基因组RNA-蛋白相互作用预测提供了一种可靠和准确的方法.
  • 该方法显示了对新型RNA-蛋白质复合体的建模和设计的巨大潜力.