Development and application of a customized online affinity selection mass spectrometry screening platform

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Jun Zhang, Jerry Barney, Qingqing Shen, Anthony Paiva, Wilson Shou, Chris Barbieri, Nancy Huynh, Heidi L. Perez, Andrew F. Donnell, Cullen L. Cavallaro
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引用次数: 0

Abstract

With the evolving landscape of small molecule modalities and drug target portfolios, affinity selection mass spectrometry (ASMS) has emerged as a preferred high-throughput screening approach, driven by the growing chemical space capable of regulating historically undruggable targets. To meet the ever-increasing demand for binding screens, the ASMS platform requires continuous enhancements in efficiency and scalability. In this study, we developed a customized online ASMS platform, featuring multiplexed two-dimensional LC/MS for sample analysis, ultrafast acoustic ejection mass spectrometry for reaction product scouting of high-throughput chemistry before subjecting them to direct ASMS screens, and an integrated tool for real-time data processing and cross-hit evaluation. With the quality controls we implemented to ensure operational robustness and quality, the multiplexed system has demonstrated significantly enhanced analytical speed, efficiency, and overall capacity. The integrated data processing tool enhanced data quality by incorporating advanced cross-hit assessments to reduce false positives, and streamlined the screening workflow through real-time data analysis, effectively eliminating the traditional bottleneck in ASMS screening. The established ASMS platform has been utilized for our internal screening campaigns generating tractable binding hits, and providing direct affinity ranking of hits from nanoscale synthesis, enabling hit optimization and chemotype expansion with demonstrated high platform performance.
定制在线亲和选择质谱筛选平台的开发与应用
随着小分子模式和药物靶点组合的不断发展,亲和选择质谱(asm)已成为首选的高通量筛选方法,这是由于能够调节历史上不可药物靶点的化学空间不断增长。为了满足对绑定屏幕不断增长的需求,asm平台需要不断提高效率和可扩展性。在这项研究中,我们开发了一个定制的在线asm平台,其中包括用于样品分析的多路二维LC/MS,用于高通量化学反应产物探测的超快速声弹射质谱,以及用于实时数据处理和交叉命中评估的集成工具。我们实施了质量控制,以确保操作的稳健性和质量,多路复用系统显示出显著提高的分析速度、效率和总体容量。集成的数据处理工具通过采用先进的交叉命中评估来减少误报,提高了数据质量,并通过实时数据分析简化了筛选工作流程,有效地消除了asm筛选的传统瓶颈。建立的asm平台已用于我们的内部筛选活动,产生可处理的结合命中,并提供纳米级合成命中的直接亲和力排名,实现命中优化和化学型扩展,并展示了高平台性能。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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