囊封闭的坐标基于注意力的双批深度卷积知识蒸模型用于药物相互作用预测
Soni Sharmila Kadimi1, S Thanga Revathi2, Pokkuluri Kiran Sree3
1School of Computing, SRM Institute of Science and Technology, Kattankulathur, 603203, India. sonisharmila.kadimi@gmail.com.
Molecular diversity
|January 14, 2026
概括
这项研究引入了一种用于预测药物相互作用 (DDI) 的新模型,提高了药物发现的准确性和效率. 通过精确识别潜在的DDI,CC-DBDKD模型提高了患者的安全.
科学领域:
- 药理学和化学信息学
- 计算机化药物发现技术
- 人工智能在医学中的应用
背景情况:
- 药物相互作用 (DDI) 对患者安全和研究效率构成重大风险.
- 准确的DDI预测对于安全的药物联合使用至关重要.
- 整合不同的数据源可以提高DDI预测模型的精度.
研究的目的:
- 提出一种新的模型,CC-DBDKD,用于增强药物相互作用预测.
- 利用囊网络,协调注意力和知识蒸,以改善DDI识别.
- 开发一个可扩展和强大的模型来预测复杂的药物关系.
主要方法:
- 使用DrugBank数据集和RDKit进行数据预处理和SMILES标准化.
- 生成的分子指纹 (ECFP,MACCS,PubChem,3D,MD) 和计算的结构相似性概况 (SSP).
- 开发了CC-DBDKD模型,包括囊网络,协调注意力,双批次深度卷曲和知识蒸.
主要成果:
- CC-DBDKD模型实现了卓越的精度 (0.987,0.989) 和F1得分为0.986.98.
- 与CNN,CNN-LSTM,自动编码器和D-CNN等现有模型相比,表现出更好的性能.
- 该模型显示了大型数据集的强大的可扩展性.
结论:
- CC-DBDKD模型为准确的药物相互作用预测提供了强大而可扩展的解决方案.
- 这种方法通过识别潜在的DDI来提高药物发现效率和患者安全.
- 集成先进的深度学习技术为未来的DDI研究提供了一个强大的框架.
相关概念视频
Pharmacokinetics: Drug–Drug Interactions
349
Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
349
Drug-Receptor Interactions
7.3K
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....
7.3K
Model Approaches for Pharmacokinetic Data: Compartment Models
524
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
524
Quantitative Aspects of Drug-Receptor Interaction
1.7K
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...
1.7K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
240
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
240
Drug-Receptor Interaction: Antagonist
4.8K
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...
4.8K


