High-Throughput Deconvolution of Intact Protein Mass Spectra for the Screening of Covalent Inhibitors

反褶积 化学 分析物 质谱法 分析化学(期刊) 色谱法 计算机科学 算法
作者
Fan Pu,Kevan T. Knizner,Matthew T. Robey,Andrew J. Radosevich,Scott A. Ugrin,Nathaniel L. Elsen,Kenneth R. Durbin,Jon D. Williams
出处
期刊:Journal of the American Society for Mass Spectrometry [American Chemical Society]
卷期号:33 (12): 2338-2341 被引量:8
标识
DOI:10.1021/jasms.2c00273
摘要

Deconvolution from intact protein mass-to-charge spectra to mass spectra is essential to generate interpretable data for mass spectrometry (MS) platforms coupled to ionization sources that produce multiply charged species. Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) can be used to analyze intact proteins in multiwell microtiter plates with speed matching small molecule analyses (at least 1 Hz). However, the lack of compatible deconvolution software has limited its use in high-throughput screening applications. Most existing automated deconvolution software packages work best for data generated from LC-MS, and to the best of our knowledge, there is no software capable of performing fast plate-based mass spectral deconvolution. Herein we present the use of a new workflow in ProSight Native for the deconvolution of protein spectra from entire well plates that can be completed within 3 s. First, we successfully demonstrated the potential increased throughput benefits produced by the combined IR-MALDESI-MS - ProSight Native platform using protein standards. We then conducted a screen for Bruton's tyrosine kinase (BTK) covalent binders against a well-annotated compound collection consisting of 2232 compounds and applied ProSight Native to deconvolute the protein spectra. Seventeen hits including five known BTK covalent inhibitors in the compound set were identified. By alleviating the data processing bottleneck using ProSight Native, it may be feasible to analyze and report covalent screening results for >200,000 samples in a single day.
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