知识图神经网络与空间意识囊用于药物相互作用预测
IEEE journal of biomedical and health informatics
|June 25, 2024
概括
这项研究介绍了KGCNN,一种用于预测药物相互作用 (DDI) 的新型图形神经网络模型. KGCNN有效地捕捉生物医学知识图中的空间关系,提高了DDI预测的准确性.
科学领域:
- 计算化学是一种计算化学.
- 生物信息学是一种生物信息学.
- 医学中的人工智能
背景情况:
- 预测药物相互作用 (DDI) 对药物开发和患者安全至关重要.
- 图形神经网络 (GNN) 显示了DDI预测的前景,但在空间关系方面存在困难.
- 现有的方法缺乏从邻近节点有效捕获更高层次的特征.
研究的目的:
- 介绍KGCNN,一个用于全面DDI预测的新型模型.
- 解决基于GNN的DDI预测中捕捉空间关系和更高层次特征的局限性.
- 利用生物医学知识图 (BKG) 来改善DDI预测.
主要方法:
- 开发了KGCNN,这是一个传递消息的GNN框架,具有传播和聚合.
- 利用生物医学知识图 (BKG) 来管理基于语义关系的信息传播.
- 引入了一个空间意识的囊聚合器来捕捉空间关系和更高层次的特征.
主要成果:
- 在DDI预测任务中,KGCNN表现出卓越的性能.
- 在两个数据集上的实验结果验证了模型的有效性.
- 该模型在预测DDI方面实现了量化性能改进.
结论:
- 为了DDI预测,KGCNN有效地捕捉了BKG中的空间关系.
- 具有空间意识的囊聚合器增强了分子相互作用的表现.
- KGCNN为计算DDI预测提供了一种卓越的方法.
相关概念视频
Drug-Receptor Interactions
5.1K
Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
5.1K
Drug-Receptor Interaction: Antagonist
2.9K
An antagonist is a drug that binds strongly to a receptor without activating it. An antagonist prevents other molecules, such as neurotransmitters or hormones, from binding to the receptor and triggering a cellular response. Such interaction effectively hinders the normal physiological processes mediated by the receptor, resulting in various pharmacological effects depending on the specific receptor targeted.
Antagonists can be classified as competitive or noncompetitive based on their...
Antagonists can be classified as competitive or noncompetitive based on their...
2.9K
Combined Effects of Drugs: Synergism
3.8K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
Such synergistic combinations...
3.8K
Drug-Receptor Interaction: Agonist
2.5K
Agonists are drugs that interact with specific receptors in the body to produce a biological response. When an agonist binds to a receptor, it activates or enhances the receptor's function, leading to physiological effects. The interaction between agonist drugs and receptors is crucial for their therapeutic action in various medical treatments.
Agonists can bind to receptors in different ways. Some agonists bind directly to the receptor's active site, mimicking the endogenous...
Agonists can bind to receptors in different ways. Some agonists bind directly to the receptor's active site, mimicking the endogenous...
2.5K
Drug Discovery: Overview
7.8K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
7.8K
Quantitative Aspects of Drug-Receptor Interaction
972
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
972


