Optimizing the affinity selection mass spectrometry workflow for efficient identification and ranking of potent USP1 inhibitors

Autor: Yi Zhao, Meixian Liu, Tian Qin, Yongqiang Peng, Guang Lin, Chao Che, Zhendong Zhu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: SLAS Technology, Vol 29, Iss 4, Pp 100174- (2024)
Druh dokumentu: article
ISSN: 2472-6303
DOI: 10.1016/j.slast.2024.100174
Popis: An optimized Affinity Selection-Mass Spectrometry (AS-MS) workflow has been developed for the efficient identification of potent USP1 inhibitors. USP1 was immobilized on agarose beads, ensuring low small molecule retention, efficient protein capture, and protein stability. The binding affinity of 49 compounds to USP1 was evaluated using the optimized AS-MS method, calculating binding index (BI) values for each compound. Biochemical inhibition assays validated the AS-MS results, revealing a potential correlation between higher BI values and lower IC50 values. This optimized workflow enables rapid identification of high-quality USP1 inhibitor hits, facilitating structure-activity relationship studies and accelerating the discovery of potential cancer therapeutics.
Databáze: Directory of Open Access Journals