一项基于异构图神经网络的药物文本关系提取研究
Shuilong Zou1, Zhaoyang Liu2, Kaiqi Wang2
1Nanchang Institute of science & Technology, Nanchang 330004, China.
Mathematical biosciences and engineering : MBE
|February 2, 2024
概括
这项研究引入了一种新的异质图神经网络,用于从传统中医 (TCM) 文本中提取关系. 该模型显著提高了复杂的TCM数据的信息提取精度.
科学领域:
- 自然语言处理自然语言处理.
- 人工智能的人工智能
- 计算语言学 计算语言学
背景情况:
- 从药品文本中有效地提取信息对于临床研究至关重要.
- 传统中医 (TCM) 文本由于简化句子和复杂,异质实体关系而存在独特的挑战.
- 当前的关系提取模型往往无法捕捉实体和关系之间的复杂关联,导致不完整的结构化表示.
研究的目的:
- 开发一个针对传统中医药 (TCM) 复杂性的高级关系提取模型.
- 解决主流模型在处理异质实体和TCM文献中复杂的语义关系方面的局限性.
主要方法:
- 提出了一个异质图神经网络 (HGNN) 模型,专门适用于TCM文本关系提取.
- 使用来自变压器的双向编码器表示 (BERT) 来进行微调的文字嵌入作为模型输入.
- 构建了一个异质的图形网络来链接单词,短语和关系节点,捕捉隐藏的层次表示.
- 实施了两阶段的主体-对象实体识别方法,并使用二进制分类符来确定TCM实体并形成关系组.
主要成果:
- 与BERT嵌入的拟议的HGNN模型在TCM关系提取数据集上实现了86.99%的精度和87.40%的F1得分.
- 与CNN,Bert-CNN和Graph LSTM等现有模型相比,在F1得分中显示了8.83%的精度和10.21%的显著改进.
结论:
- 开发的异质图神经网络模型有效地从传统中医文本中提取复杂的关系.
- 该模型的卓越性能凸显了图形神经网络和BERT嵌入的潜力,以推进专门的生物医学领域的信息提取.
相关概念视频
Drug-Receptor Bonds
2.8K
Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
In...
In...
2.8K
Classification of Neurotransmitters
2.9K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
2.9K
Protein Networks
4.0K
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,...
4.0K
Drug-Receptor Interactions
5.2K
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....
5.2K
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
Quantitative Aspects of Drug-Receptor Interaction
984
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...
984


