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

Authors :
Zhao Y
Liu M
Qin T
Peng Y
Lin G
Che C
Zhu Z
Source :
SLAS technology [SLAS Technol] 2024 Aug; Vol. 29 (4), pp. 100174. Date of Electronic Publication: 2024 Jul 31.
Publication Year :
2024

Abstract

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 IC <subscript>50</subscript> 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.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2472-6311
Volume :
29
Issue :
4
Database :
MEDLINE
Journal :
SLAS technology
Publication Type :
Academic Journal
Accession number :
39094982
Full Text :
https://doi.org/10.1016/j.slast.2024.100174