相关实验视频
Updated: Jul 10, 2025

12:08
Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
18.6K
HiSIF-DTA:一种层次语义信息融合框架,用于药物向 afinity 预测
IEEE journal of biomedical and health informatics
|November 20, 2023
概括
这项研究引入了HiSIF-DTA,这是一种用于药物向亲和力 (DTA) 预测的新框架. 通过整合结构和网络数据,它提高了用于药物发现的DTA预测准确性.
科学领域:
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
- 生物信息学是一种生物信息学.
背景情况:
- 准确的药物向亲和力 (DTA) 预测对于加速药物发现至关重要.
- 当前的深度学习模型往往忽略了生物网络中存在的高级语义信息.
- 需要先进的蛋白质表示方法来捕获结构和功能数据.
研究的目的:
- 提出HiSIF-DTA,一个层次性的语义信息融合框架,用于改进DTA预测.
- 开发一种将低阶结构语义与蛋白质高阶功能语义相结合的方法.
- 为了增强蛋白质的表现,以便更准确地预测DTA.
主要方法:
- 构建一个分层的蛋白质图,包括接触图 (低阶结构语义) 和蛋白质与蛋白质相互作用 (PPI) 网络 (高阶功能语义).
- 设计两个层次融合策略 (上下和下下) 来整合多样化的蛋白质语义信息.
- 基于丰富的蛋白质表示,利用深度学习技术进行DTA预测.
主要成果:
- 在基准DTA数据集上,HiSIF-DTA显著优于现有的最先进的方法.
- 该框架通过有效地融合层级语义信息来证明卓越的预测准确性.
- 对二进制任务的验证和可视化分析证实了该方法的概括性和可解释性.
结论:
- HiSIF-DTA通过利用等级语义融合为DTA预测提供了一种强大的新方法.
- 拟议的方法提供了更丰富的蛋白质表示,从而提高了预测性能.
- 这个框架有可能通过更准确的亲和力预测来推进药物发现管道.
更多相关视频
07:40A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
4.2K
08:31Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
5.0K
相关概念视频
Structure-Activity Relationships and Drug Design
733
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...
733
Drug Discovery: Overview
8.0K
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...
8.0K
Targets for Drug Action: Overview
6.3K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
6.3K
Ligand Binding Sites
12.9K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
12.9K
Combined Effects of Drugs: Synergism
3.9K
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...
3.9K
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