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相关概念视频

Drug-Receptor Interactions01:29

Drug-Receptor Interactions

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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....
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Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

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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...
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Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

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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...
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Factors Affecting Protein-Drug Binding: Drug Interactions01:23

Factors Affecting Protein-Drug Binding: Drug Interactions

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Drug interactions are a critical aspect of pharmacology and can occur when two or more drugs compete for the same binding site. This competition can result in one drug displacing another, altering the effect of the displaced drug. Drug interactions are complex processes that rely heavily on how much of the displacer drug is present and how strongly it can bind to the same sites as the displaced drug.
Displacement interactions can have varying outcomes, ranging from toxicity to virtually...
202
Drug Discovery: Overview01:26

Drug Discovery: Overview

8.1K
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...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

12.6K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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相关实验视频

Updated: Jul 24, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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基于集体深度学习的基础上,识别潜在的药物向相互作用.

Liqian Zhou1, Yuzhuang Wang1, Lihong Peng1

  • 1School of Computer Science, Hunan University of Technology, Zhuzhou, China.

Frontiers in aging neuroscience
|July 3, 2023
PubMed
概括
此摘要是机器生成的。

一种新方法,EnGDD,准确预测药物向相互作用 (DTI),加速药物发现. EnGDD确定了神经退行性疾病的潜在治疗方法,包括帕金森病和阿尔茨海默病.

关键词:
阿尔茨海默病的疾病阿尔茨海默病的疾病.帕金森病是帕金森病的一种.森林深处的森林深处的森林.深度神经网络是一个神经网络.药物向药物相互作用渐变增强神经网络的神经网络.

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Diagonal Method to Measure Synergy Among Any Number of Drugs
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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科学领域:

  • 计算生物学是一种计算生物学.
  • 药理学 药理学 是一个学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 药物向相互作用 (DTI) 的预测对于药物发现和开发至关重要.
  • 实验性DTI识别方法通常是耗时和劳动密集的.
  • 需要新的计算方法来加速DTI预测.

研究的目的:

  • 开发和验证一种新的计算方法,EnGDD,用于准确预测药物向相互作用.
  • 将EnGDD的表现与现有的最先进的DTI预测方法进行比较.
  • 使用EnGDD模型识别神经退行性疾病的潜在治疗点.

主要方法:

  • EnGDD结合了特征获取,维度减小和使用渐变增强神经网络,深度神经网络和深度森林进行分类.
  • 绩效评估涉及跨药物,标和药物标对数据集的交叉验证.
  • 对七种已建立的DTI预测方法进行了比较分析.

主要成果:

  • EnGDD表现出卓越的性能,在多个数据集和验证策略中实现了最佳的回忆,准确性,F1得分,AUC和AUPR.
  • 该方法确定了几种新的潜在药物向相互作用,包括D00002 (Nadide) 与hsa10935 (线粒体过氧化3).
  • EnGDD预测了对帕金森病 (例如,D01277针对hsa1813) 和阿尔茨海默病 (例如,D02173针对hsa5743) 的潜在治疗剂.

结论:

  • EnGDD模型为药物向相互作用预测提供了一种强大而高效的方法.
  • EnGDD有可能显著加快对各种疾病的新疗法策略的识别.
  • 对于预测的药物向相互作用和治疗应用,需要进一步的生物医学验证.