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相关概念视频

Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

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The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
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Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

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When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
365
Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
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Nonlinear Pharmacokinetics: Overview01:19

Nonlinear Pharmacokinetics: Overview

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Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
354
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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相关实验视频

Updated: Jun 26, 2025

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
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SAFER:以注意力为基础的子超图神经网络,用于预测对剂量组合的有效反应.

Yi-Ching Tang1, Rongbin Li1, Jing Tang2

  • 1Center for Safe Artificial Intelligence for Healthcare, McWilliams School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, United States.

Research square
|May 15, 2024
PubMed
概括

人工智能模型可以预测癌症中的药物协同作用,但与剂量和动态网络作斗争. 一个新的图形模型SAFER准确地预测了剂量依赖的药物协同作用,并确定了关键的生物途径.

关键词:
超图表示学习学习学习超图表示.背景感知模型的背景感知模型剂量反应药物组合数据药物组合的预测和预测.图表显示注意力机制.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 药理学 药理学是指药理学的学科.
  • 人工智能的人工智能是人工智能.

背景情况:

  • 药物组合协同作用在癌症治疗中提供了显著的好处,但会增加毒性的风险.
  • 目前用于预测药物协同作用的人工智能 (AI) 模型往往忽略了关键的剂量信息和动态生物网络,限制了它们的适用性.
  • 现有的基于图形的模型通常使用静态的蛋白质-蛋白质相互作用,未能捕捉取决于上下文的生物网络动态.

研究的目的:

  • 开发一种先进的AI模型,用于预测药物组合协同作用,其中包括剂量效应和动态生物网络.
  • 克服现有模型的局限性,这些模型预测了有限剂量的平均协同效应,并依赖于静态相互作用数据.
  • 为识别药物反应信号和理解患者特定的分子背景提供一个可解释的框架.

主要方法:

  • 介绍了SAFER,一个以注意力为基础的子超图形图形模型.
  • 纳入生物知识网络中的复杂关系.
  • 考虑了对特定主体生物网络的剂量影响.

主要成果:

  • 在基准和独立测试数据集上,SAFER与以前的模型相比表现优越.
  • 该模型确定了关键的生物通路和基因,如JAK-STAT信号通路,PRDM12,ZNF781和CDC5L,与肺纤维化有关.
  • 分析强调了该模型能够捕捉剂量级药物组合反应的能力.

结论:

  • SAFER提供了一个新的,可解释的框架,用于预测癌症治疗中剂量依赖的药物组合协同作用.
  • 该模型能够捕捉对象特定的分子背景和剂量效应,从而开辟了新的研究途径.
  • 在未来的研究中,SAFER可以用于研究个性化医疗的患者特异性分子网络.