探索A类GPCRs上的可药结合位点,使用残留相互作用网络和通过合体竞争和的位点识别来确定该位点
Tugce Inan1,2, Merve Yuce1, Alexander D MacKerell3
1Department of Chemical Engineering, Istanbul Technical University, Istanbul 34469, Turkey.
ACS omega
|September 30, 2024
概括
这项研究引入了一种结合残留相互作用网络和配体竞争性和的计算方法,以确定G蛋白结合受体 (GPCRs) 上潜在的全结位,帮助药物发现.
科学领域:
- 生物化学和结构生物学
- 计算生物学和化学信息学
- 药理学和药物发现
背景情况:
- G蛋白结合受体 (GPCRs) 在细胞信号传递中至关重要,并与许多疾病有关.
- 识别GPCRs上的全osteric位点对于开发新型治疗调节器至关重要.
- 现有的GPCR结构数据为验证计算方法提供了基础.
研究的目的:
- 验证一种计算策略,用于预测A类GPCRs中的全结位.
- 评估新发现的假定全位的药用性.
- 提供一个工具,以促进设计针对GPCR的药物.
主要方法:
- 结合了残留物相互作用网络 (RIN) 模型和通过配体竞争性和 (SILCS) 方法的地点识别.
- RIN分析以识别介导全信号和受体动态的关键残留物.
- SILCS-热点来评估预测的全位的药物可用性.
主要成果:
- 结合RIN和SILCS方法成功地预测了18个A类GPCRs的已知orthosteric和allosteric结合位点,并且具有很高的准确性.
- 图谱谱分析证实,预测的地点位于协调受体动态的关键接口.
- 在7个不同的A类GPCR中确定了许多新的,可用药物的全位.
结论:
- 经过验证的计算方法有效地预测了GPCRs上的全结位.
- 这种方法为发现新的药物点和设计GPCR相关疾病的调节器提供了一个有希望的策略.
- 鉴定新型全位扩大了针对GPCRs的治疗潜力.
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