Integrating Functional Response and Target Binding for Mechanism-Centered Drug Screening by High-Mass MALDI-MS

药物发现 计算生物学 药品 药物靶点 功能(生物学) 选择(遗传算法) 化学 血浆蛋白结合 虚拟筛选 高通量筛选 药物设计 药物反应 筛选技术 高含量筛选 计算机科学 药物开发 药理学 集合(抽象数据类型) 否定选择 结合位点 生物 生物信息学 人类蛋白质 体内
作者
Congrui Tan,Yu Gao,Marcus Buggert,Yuye Zhou,Renato Zenobi
出处
期刊:ACS central science [American Chemical Society]
卷期号:12 (3): 316-323
标识
DOI:10.1021/acscentsci.5c01944
摘要

Early stage drug discovery is limited by the disjunction of function and binding assays, creating an information gap that leads to the high failure rate in hit advancement. This limitation is particularly pronounced for protein-protein interactions, whose large and shallow interfaces make it difficult to distinguish hits mechanistically. To address this, we developed a cross-linking matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) platform that integrates biochemical functional response and target binding in a single assay, thereby generating a multidimensional pharmacological profile. Using the SARS-CoV-2 RBD-ACE2 interaction and a set of 17 drug candidates for a proof-of-concept study, the platform revealed a clear difference between two inhibitors that appeared indistinguishable in conventional functional assays: one showed stronger affinity and preferential ACE2 binding, while the other showed weaker and less specific binding. These mechanistic differences were consistent with the results of a cellular antiviral assay, in which only the high-affinity inhibitor improved cell viability. This work presents a mechanism-centered, rapid screening strategy that provides early multiparameter insight, enables rational selection of high-quality leads for challenging drug targets, and is compatible with high-throughput formats.
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