基于蛋白质检测的NMR光谱的碎片基查
Paul J Kerber1, Raymundo Nuñez1, Davin R Jensen1
1Department of Biochemistry, Medical College of Wisconsin, Watertown Plank Road, Milwaukee, WI, United States; Program in Chemical Biology, Medical College of Wisconsin, Watertown Plank Road, Milwaukee, WI, United States.
Methods in enzymology
|October 20, 2023
概括
基于碎片的药物发现 (FBDD) 使用生物物理查来识别新药的潜在药物. 本资源详细介绍了一个标准化的FBDD管道,重点是NMR数据,以有效识别和验证成功.
科学领域:
- 生物化学 生物化学
- 化学生物学 化学生物学
- 药物发现 药物发现 药物发现
背景情况:
- 基于碎片的药物发现 (FBDD) 识别了高亲缘关系联体的小分子.
- 选碎片库 (<10,000个分子) 揭示了新的结合点和支架.
- 一个强大的FBDD管道需要标准化的协议来选择目标,选和验证.
研究的目的:
- 详细说明FBDD的综合碎片选管道.
- 专注于蛋白质检测NMR数据收集和分析作为一个关键资源.
- 为研究人员提供FBDD项目的标准化协议.
主要方法:
- 严格的基于NMR的稳定性和缓冲测试,用于选择的蛋白质标.
- 计算和物理分析,适当的存储和碎片库的多重化.
- 使用液体处理机器人和自定义Python脚本进行NMR数据分析.
- 通过对结合部位的定位和Kd的确定进行击中验证,通过直角试验证实.
主要成果:
- 开发的FBDD管道成功选了各种标蛋白.
- 确定了选择性结合目标蛋白的新分子.
- 该管道通过标准化的协议和验证方法确保了击中完整性.
结论:
- 详细的FBDD查管道,强调NMR,对于识别新药潜在的药物至关重要.
- 标准化的协议和先进的分析方法提高了FBDD的效率和成功.
- 该资源促进了针对治疗标的高亲和性和选择性连接体的开发.
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