一个深度注意力模型,用于在序列层面预测宽基因组蛋白质-结合亲和力
Xiaohan Sun1, Zhixiang Wu1, Jingjie Su1
1College of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.
International journal of biological macromolecules
|July 12, 2024
概括
我们开发了PepPAP,这是一个新的深度学习模型,使用序列数据来预测蛋白质-结合亲和力. PepPAP准确地预测结合强度,有助于基于的药物设计.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
背景情况:
- 可以调解高达40%的蛋白质与蛋白质相互作用,这对细胞功能至关重要.
- 它们的特异性使得在药物设计中具有价值,但难以预测结合亲和力.
研究的目的:
- 仅使用序列信息来开发蛋白质-结合亲和力的准确预测模型.
- 提高基于的治疗方法的设计.
主要方法:
- 开发了PepPAP,一个卷积神经网络和多头注意力模型.
- 使用的序列特征:物理化学特性,内在障碍,序列编码和接口倾向.
- 采用回归分层交叉验证方案,以改善极端价值预测.
主要成果:
- 在基准数据集 (T100,PDZ,CXCR4) 上,PepPAP表现出色,优于现有方法.
- 在二进制相互作用预测方面取得了强的结果.
- 功能空间可视化证实了PepPAP的有效性.
结论:
- PepPAP是第一个基于序列的深度注意模型,用于全基因组的蛋白质-结合亲和力预测.
- 该模型显示了推进基于的药物设计和理解生物相互作用的巨大潜力.
相关概念视频
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...
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-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 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,...
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 Sites
12.8K
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...
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...
12.8K


