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Updated: Jun 18, 2025

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优化亲和力选择质谱工作流程,以有效识别和排名强有力的USP1抑制剂

Yi Zhao1, Meixian Liu1, Tian Qin1

  • 1BayRay Innovation Center, Shenzhen Bay Laboratory, Shenzhen, 518132, China.

SLAS technology
|August 2, 2024
PubMed
概括

研究人员开发了一种优化的亲和选择质谱法 (AS-MS) 方法,以快速找到强大的USP1抑制剂. 这种方法有助于发现新的癌症药物,通过有效地识别有前途的化合物.

关键词:
亲和力选择MS (AS-MS) 的一个例子.生物物理测定试验药物发现技术 药物发现技术高吞吐量质量规格 (HTMS)没有标签的查.蛋白质固定运动作为一种USP1抑制剂.

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