GATDE: 一个图表注意力网络与扩散增强的蛋白质-蛋白质相互作用用于癌症分类
Ruike Song1, Xiaofeng Wang1, Jiahao Zhang1
1College of Software, Nankai University, Tianjin, China.
Methods (San Diego, Calif.)
|September 20, 2024
概括
这项研究引入了GATDE,这是一种使用图表注意力网络和蛋白质相互作用精确分类癌症的新方法. GATDE通过考虑多种交互优势和多跳的影响来改进现有方法,以提高准确性.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 癌症研究 癌症研究
背景情况:
- 准确的癌症分类对于有效的患者治疗至关重要.
- 目前基于蛋白质表达的方法往往过于简化了蛋白质相互作用,假设强度均,忽视中间影响.
- 需要更复杂的模型来捕捉蛋白质-蛋白质相互作用 (PPI) 的复杂性,以改善癌症亚型.
研究的目的:
- 开发一种先进的计算方法,GATDE,用于精确的癌症分类.
- 通过结合各种蛋白质相互作用强度和多跳的影响来解决现有方法的局限性.
- 通过对图表注意力网络和PPI传播过程的新集成来提高癌症分类的准确性.
主要方法:
- 构建了一个加权的蛋白质-蛋白质相互作用网络,以表示各种相互作用的强度.
- 在PPI网络上使用扩散过程来评估蛋白质之间的多跳的影响.
- 整合扩散衍生信息到图表注意网络 (GATDE) 中,用于癌症分类.
主要成果:
- 与当前的领先方法相比,GATDE在乳腺癌和胰腺癌数据集上在癌症分类方面取得了卓越的表现.
- 实验结果证明了扩散过程在捕获相关生物信息方面的有效性.
- 案例研究验证了GATDE模型在实际应用中的稳定性和潜力.
结论:
- 通过有效地建模复杂的蛋白质-蛋白质相互作用,GATDE为癌症分类提供了更细致的方法.
- 图形注意力网络与扩散过程的整合为分析生物网络提供了一个强大的框架.
- 该方法在改善诊断准确性和指导个性化癌症治疗策略方面显示出显著的希望.
相关概念视频
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
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
The Ras Gene
6.2K
The Ras-gene-encoded proteins are regulators of signaling pathways controlling cell proliferation, differentiation, or cell survival. The Ras-gene family in humans constitutes three primary members—the HRas, NRas, and KRas. These genes code for four functionally distinct yet closely related proteins—the HRas, NRas, KRas4A, and KRas4B. The involvement of mutant Ras genes in human cancer was first discovered in 1982 and is among the most common causes of human tumorigenesis.
Ras is a...
Ras is a...
6.2K
mTOR Signaling and Cancer Progression
3.8K
The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
The mTOR pathway or the...
3.8K
G Protein-coupled Receptors
11.5K
G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
11.5K


