深PhosPPI:一个深度学习框架与注意力-CNN和变压器来预测蛋白质-蛋白质相互作用的酸化效应
Yinyin Gong1,2, Rui Li1, Yan Liu1,3
1College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410083, China.
Briefings in bioinformatics
|September 7, 2025
概括
DeepPhosPPI是一个新的深度学习框架,可以预测蛋白质酸化如何影响蛋白质与蛋白质相互作用 (PPI). 这种计算方法有助于了解疾病机制,并降低实验成本.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 蛋白质酸化对细胞信号和疾病至关重要,它调节蛋白质活性和相互作用.
- 了解酸化对蛋白质与蛋白质相互作用 (PPI) 的影响对于疾病研究至关重要.
- 目前的实验验证方法昂贵且耗时.
研究的目的:
- 开发一个高效的计算框架,DeepPhosPPI,用于预测酸化对PPI的影响.
- 利用深度学习和蛋白质语言模型来准确预测酸化介导的PPI调制.
主要方法:
- 开发了DeepPhosPPI,这是一个基于序列的深度学习框架.
- 使用预先训练的蛋白质语言模型 (ProtBERT,ESM-2) 来进行特征嵌入.
- 集成的基于注意力的卷积神经网络和变压器模型.
主要成果:
- DeepPhosPPI准确地预测了对PPI的酸化效应.
- 该框架在基准测试任务中始终超过了最先进的方法.
- 在功能部位识别和监管效应分类方面取得了高准确性.
结论:
- DeepPhosPPI提供了一种高效准确的计算解决方案,用于预测PPI的酸化效应.
- 这一框架可以加速对酸化依赖的生物过程和相关疾病的研究.
- 通过集成先进的深度学习技术,DeepPhosPPI推动了生物信息学领域的发展.
相关概念视频
Protein-protein Interfaces
14.4K
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...
14.4K
Protein Networks
4.5K
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,...
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,...
4.5K
Protein Networks
2.8K
2.8K
Protein Kinases and Phosphatases
15.0K
Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
15.0K
Protein Kinases and Phosphatases
4.4K
4.4K
Phosphorylation
53.7K
The addition or removal of phosphate groups from proteins is the most common chemical modification that regulates cellular processes. These modifications can affect the structure, activity, stability, and localization of proteins within cells as well as their interactions with other proteins.
During phosphorylation, protein kinases transfer the terminal phosphate group of ATP to specific amino acid side chains of substrate proteins. Serine, threonine, and tyrosine are the most commonly...
During phosphorylation, protein kinases transfer the terminal phosphate group of ATP to specific amino acid side chains of substrate proteins. Serine, threonine, and tyrosine are the most commonly...
53.7K


