一个分子片段表示学习框架用于药物相互作用预测
Jiaxi He1, Yuping Sun2, Jie Ling1
1School of Computer Science and Technology, Guangdong University of Technology, 100 Waihuan West Road, University Town, Panyu District, Guangzhou, 510006, China.
Interdisciplinary sciences, computational life sciences
|October 9, 2024
概括
这项研究引入了一种新的计算方法,通过分析分子碎片和层次信息来预测药物相互作用 (DDI). 这种方法显著提高了预测准确性,特别是对于新药,有助于药物开发.
科学领域:
- 计算化学和化学信息学
- 药理学和药物发现
背景情况:
- 同时使用药物存在由于潜在的药物相互作用 (DDI) 的风险.
- 准确的DDI预测对于药物开发和患者安全至关重要.
- 现有的方法往往忽略了分子层次信息,并使用了限制性的子结构定义.
研究的目的:
- 为准确的DDI预测开发一个先进的计算框架.
- 将分子层次信息集成到DDI预测模型中.
- 克服现有的基于子结构的DDI预测方法的局限性.
主要方法:
- 开发了一个新的分子碎片表示学习框架.
- 一个碎片提取模块被设计用于获取分子碎片.
- 纳入了分子层次信息,以捕捉对对断片相互作用分析的综合特征.
主要成果:
- 拟议的方法在DrugBank和Twosides数据集上实现了最先进的性能.
- 预测涉及未见药物的相互作用的准确性提高了20%以上.
- 案例研究证实了影响DDI的关键,功能相关的子结构的识别.
结论:
- 开发的框架显著提高了DDI预测性能.
- 该方法通过识别关键的相互作用子结构,提供了高的解释性.
- 这种方法代表了计算药物安全性评估的重大进展.
相关概念视频
Drug-Receptor Interactions
5.0K
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....
5.0K
Quantitative Aspects of Drug-Receptor Interaction
944
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...
944
Drug-Receptor Interaction: Antagonist
2.8K
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...
2.8K
Drug-Receptor Bonds
2.7K
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...
2.7K
Drug Discovery: Overview
7.6K
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...
7.6K
Structure-Activity Relationships and Drug Design
668
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
668


