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相关概念视频

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
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
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
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

3.7K
3.7K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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...
4.2K
Protein Folding01:25

Protein Folding

7.8K
Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
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相关实验视频

Updated: Jun 6, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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TPepPro:用于预测蛋白相互作用的深度学习模型.

Xiaohong Jin1, Zimeng Chen2, Dan Yu2

  • 1School of Electronic Information, Guangxi University for Nationalities, Nanning 530000, China.

Bioinformatics (Oxford, England)
|November 25, 2024
PubMed
概括

我们开发了TPepPro,这是一个基于变压器的模型,用于预测蛋白相互作用 (PepPIs). TPepPro提高了识别潜在类药物的准确性和效率,有助于治疗开发.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 药物发现 药物发现
  • 生物信息学是一种生物信息学.

背景情况:

  • 体显示治疗承诺,但研究-蛋白相互作用 (PepPIs) 是具有挑战性的.
  • 由于的灵活性,PepPI的实验方法是昂贵和低效的.
  • 现有的PepPI预测计算方法需要大量的资源,缺乏准确性.

研究的目的:

  • 开发一个准确和高效的计算模型来预测蛋白相互作用 (PepPIs).
  • 为了解决PepPI预测当前实验和计算方法的局限性.
  • 为了促进潜在的基治疗剂的识别.

主要方法:

  • 提出了TPepPro,这是一个基于变压器的模型,用于预测蛋白相互作用 (PepPI).
  • 在19187个蛋白复合体上使用序列和结构特征进行了TPepPro的训练.
  • 采用了与优化神经网络架构 (BN-ReLU) 结合的本地和全球特征提取策略.

主要成果:

  • TPepPro实现了0.855的预测准确度,比下一个最佳模型提高了8.1%.
  • TPepPro获得了0.922的AUC,明显超过了第二个最佳模型的AUC0.844.
  • 该模型成功识别了验证的-蛋白相互作用,证明了其在检测高潜力候选人的有效性.

结论:

  • TPepPro提供了一个计算高效和准确的解决方案,用于预测蛋白相互作用.
  • 该模型有助于识别有前途的类药物候选药物用于治疗应用.
  • TPepPro的开源可用性有助于在类药物发现方面进行进一步的研究和开发.