Mass spectrometry-based biochemical assays for enzymeinhibitor screening
Mass spectrometry-based biochemical assays for enzymeinhibitor screening
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DOI:
10.1016/j.trac.2007.08.004
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发表时间:
2007-10-01
影响因子:
13.1
通讯作者:
Irth, Hubertus
中科院分区:
文献类型:
--
作者:
de Boer, Arjen R.;Lingeman, Henk;Irth, Hubertus
Screening for inhibitors of pharmacologically-relevant enzymes is in many cases an important starting point in drug discovery. While fluorescence-based detection techniques play an important role in high-throughput screening, mass spectrometry (MS)-based assays have gained in importance in recent years. The current review focuses on the different assay formats and applications of MS-based enzyme-inhibitor screening.MS-based assays can be categorized into direct and indirect screening methods. Direct screening methods isolate and detect the enzyme-inhibitor complex or the inhibitor to prove activity against the drug target. Active compounds that form enzyme-inhibitor complexes can be analyzed directly by MS as intact complex (direct infusion), or after isolation from the unbound (nonactive) compounds by capillary isoelectric focusing (CIEF), frontal affinity chromatography (FAC), size-exclusion chromatography (SEC), immobilized enzymes or ultrafiltration (UF), and dissociation. Indirect screening methods rely on detection of reporter molecules to measure enzyme-inhibitory activity of analytes. When using native substrates as reporter molecules, the assay provides a functional response rather than relying on detection of inhibitor binding alone. Indirect screening for activity is performed by continuous-flow systems (CFSs), flow-injection analysis (FIA), high-performance liquid chromatography (HPLC) or matrix-assisted laser desorption/ionization (MALDI), coupled to MS.MS-based screening methods can screen various kinds of samples (e.g., combinatorial libraries and natural-product extracts), screen large libraries, provide activity information, mass information, structural information and affinity data, and achieve high throughputs. (c) 2007 Elsevier Ltd. All rights reserved.