High-Throughput Covalent Modifier Screening with Acoustic Ejection Mass Spectrometry

化学 吞吐量 质谱法 共价键 色谱法 有机化学 电信 计算机科学 无线
作者
Xiujuan Wen,Chang Liu,Kiersten Tovar,Patrick J. Curran,Matthew Richards,Sony Agrawal,Richard Johnstone,R Loy,Joey L. Methot,My Sam Mansueto,Markus Koglin,Mary Jo Wildey,Lyle Burton,Thomas R. Covey,Kevin P. Bateman,Michael Kavana,David G. McLaren
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:146 (29): 19792-19799 被引量:13
标识
DOI:10.1021/jacs.4c02377
摘要

Interests in covalent drugs have grown in modern drug discovery as they could tackle challenging targets traditionally considered "undruggable". The identification of covalent binders to target proteins typically involves directly measuring protein covalent modifications using high-resolution mass spectrometry. With a continually expanding library of compounds, conventional mass spectrometry platforms such as LC-MS and SPE-MS have become limiting factors for high-throughput screening. Here, we introduce a prototype high-resolution acoustic ejection mass spectrometry (AEMS) system for the rapid screening of a covalent modifier library comprising ∼10,000 compounds against a 50 kDa-sized target protein─Werner syndrome helicase. The screening samples were arranged in a 1536-well format. The sample buffer containing high-concentration salts was directly analyzed without any cleanup steps, minimizing sample preparation efforts and ensuring protein stability. The entire AEMS analysis process could be completed within a mere 17 h. An automated data analysis tool facilitated batch processing of the sample data and quantitation of the formation of various covalent protein-ligand adducts. The screening results displayed a high degree of fidelity, with a Z' factor of 0.8 and a hit rate of 2.3%. The identified hits underwent orthogonal testing in a biochemical activity assay, revealing that 75% were functional antagonists of the target protein. Notably, a comparative analysis with LC-MS showcased the AEMS platform's low risk of false positives or false negatives. This innovative platform has enabled robust high-throughput covalent modifier screening, featuring a 10-fold increase in library size and a 10- to 100-fold increase in throughput when compared with similar reports in the existing literature.
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