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相关概念视频

Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

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...

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MMADPE:基于多跳图的药物重新定位,使用双模态图位置编码的Mamba聚合.

Pengli Lu1, Mingxu Li2, Fentang Gao3

  • 1School of Computer and Artificial intelligence, Lanzhou University of Technology, Lanzhou, 730050, Gansu, China. lupengli88@163.com.

Molecular diversity
|September 30, 2025
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概括

这项研究介绍了MMADPE,一种用于药物重新定位 (DR) 的新框架,通过建模复杂的网络关系和生物语义来增强药物疾病关联预测. MMADPE显著优于现有方法,为治疗应用提供了新的见解.

关键词:
药物重新定位 药物重新定位药物与疾病的关联图表 马巴巴 的图表图形的位置编码.图表GPSGPS是一个GPS系统.

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科学领域:

  • 计算生物学 计算生物学
  • 药理学 药理学是指药理学的学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 药物重新定位 (DR) 对于确定现有药物的新用途至关重要.
  • 当前的计算DR方法与高阶关系,组合网络属性和生物解释性作斗争.

研究的目的:

  • 提出一种新的药物重新定位框架,MMADPE,解决现有计算方法的局限性.
  • 增强远程药物疾病相互作用的建模,并将拓结构与生物语义结合起来.

主要方法:

  • MMADPE使用Graph Mamba构建具有多跳集成的相似性网络,以高效集成多顺序邻里信息.
  • 双模态图的位置编码捕捉了全球拓和本地节点的强度.
  • 一个GraphGPS混合架构融合了封闭的图形卷积和变压器注意力,用于特征提取.

主要成果:

  • 在药物重新定位的三个基准数据集上,MMADPE的表现始终优于最先进的方法.
  • 案例研究和分子对接实验验证了MMADPE的有效性.
  • 该框架提供了对新型药物疾病关联的机制性见解.

结论:

  • 通过整合网络结构和生物意义,MMADPE在计算药物重新定位方面取得了重大进展.
  • 该框架展示了发现药物的以前未被认可的治疗应用的潜力.
  • MMADPE为药物发现提供了更易于解释和更有效的方法.