通过酶方法进行体外动力分析,以选择具有较长停留时间的FAPI
Emile Verhulst1, Pawel Brzeminski2, Anke de Groot1
1Laboratory of Medical Biochemistry, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Wilrijk, 2610, Belgium.
European journal of medicinal chemistry
|December 27, 2025
概括
开发新的方法来测量癌症候选药物与标结合的时间至关重要. 这项研究引入了一种动力学测试,以更好地排名纤维细胞激活蛋白α抑制剂,以改进光学放射性连接体治疗.
科学领域:
- 生物化学和分子生物学
- 药理学和制药科学 药理学和制药科学
- 在瘤学瘤学.
背景情况:
- 纤维细胞激活蛋白α (FAP) 是癌症相关纤维细胞的关键标,对瘤进展和纤维化至关重要.
- 目前用于成像的FAP抑制剂 (FAPI) 具有快速解离,限制瘤保留和治疗应用.
- 为了有效的临床前评估,需要一个经过验证的 in vitro 方法来评估 FAPI 目标停留时间.
研究的目的:
- 建立一种中等通量体外测定方法,用于确定FAPI解离速率常量 (koff) 和药物位的停留时间.
- 为了使动态结构-活动关系 (SAR) 分析能够用于合理的FAPI设计.
- 改进FAPI的选择和优先级,以用于神经透性放射性连接体治疗.
主要方法:
- 在紧密结合条件下使用跳稀释试验来测量FAPI的解离速率常数 (koff).
- 综合进度曲线测试以确定关联速率常数 (kon) 和抑制常数 (Ki).
- 进行了动态SAR分析和分子对接,以将结合动态与FAP结构相关联.
主要成果:
- 成功确定了各种FAPI的koff,kon和Ki,从而可以直接计算药物位的停留时间 (τ = 1/koff).
- 已证明,与传统的IC50查相比,动态分析在FAPI之间提供了更细致的歧视.
- 确定了影响FAPI结合动力学和停留时间的关键结构特征和弹头化学成分.
结论:
- 开发的动力测试提供了一种可靠的方法来估计FAPI-目标的停留时间,这对于theranostic发展至关重要.
- 动力分析简化了FAPI的数据驱动排名,优化了临床前研究的选.
- 这种方法支持FAPI的理性设计,增强瘤保留,以改善色放射性连接体疗法.
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