从临床批准的药物中识别新型的烯碳化合物受体 (AhR) 调节剂:在体查和体外验证
Farag E S Mosa1, Mohammed A Alqahtani1, Mahmoud A El-Ghiaty1
1Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
Archives of biochemistry and biophysics
|March 18, 2024
概括
计算查确定了十种调节烯碳化合物受体 (AhR) 的现有药物. 这些化合物显示出用于治疗AhR相关疾病的重用潜力,其中大多数抑制AhR活性.
科学领域:
- 生物化学 生物化学
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 酸受体 (AhR) 是一种调节生理和病理生理过程的转录因子.
- 异生菌对AhR的激活会导致各种各样的生物学结果.
- 药物再利用提供了一种策略,以确定现有药物的新疗法应用.
研究的目的:
- 通过使用计算方法,从DrugBank存储库中识别潜在的阿里碳化合物受体 (AhR) 调节器.
- 探索用于AhR相关疾病的重定向药物的治疗潜力.
主要方法:
- 基于结构的虚拟选针对AhR PAS-B绑定口袋.
- 分子动力学模拟以评估结合亲缘关系,复杂稳定性和相互作用.
- 对DrugBank小分子数据库的评估.
主要成果:
- 确定了十种有前途的候选药物,包括弗利班塞林,布托康纳,卢利康纳,纳夫蒂芬,特里克拉本达,罗西格利塔,恩帕格利弗洛辛,本佩里多尔,内比沃洛尔和祖卡普赛辛.
- 所有已识别的化合物都表现出低结合的自由能量和调制的AhR信号.
- 大多数化合物降低了AhR活性,而卢利可纳独特地增强了它.
结论:
- 计算建模可以有效地选大型药物库的潜在AhR调节器.
- 这些已识别的药物具有治疗潜力,可以通过重新定位来治疗与AhR相关的疾病.
- 这种方法为开发针对这些疾病的新型干预措施提供了基础.
更多相关视频
09:39Drug-induced Sensitization of Adenylyl Cyclase: Assay Streamlining and Miniaturization for Small Molecule and siRNA Screening Applications
Published on: January 27, 2014
12.7K
07:16Methods for the Discovery of Novel Compounds Modulating a Gamma-Aminobutyric Acid Receptor Type A Neurotransmission
Published on: August 16, 2018
13.6K
相关概念视频
Drug Discovery: Overview
7.9K
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...
7.9K
Structure-Activity Relationships and Drug Design
716
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...
716
