4.7 Article

Multiple ligand detection and affinity measurement by ultrafiltration and mass spectrometry analysis applied to fragment mixture screening

期刊

ANALYTICA CHIMICA ACTA
卷 886, 期 -, 页码 98-106

出版社

ELSEVIER
DOI: 10.1016/j.aca.2015.06.017

关键词

Ultrafiltration-LC/MS; Multiple ligand detection; Affinity measurement; Fragment library screening; NS5B

资金

  1. National Natural Science Foundation of China [31401150]
  2. Key Projects in Tianjin Science & Technology Pillar Program [14ZCZDSY00062]
  3. National Biomedical Special Project of International Innovation Park [11ZCKFSY06300]

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Binding affinity of a small molecule drug candidate to a therapeutically relevant biomolecular target is regarded the first determinant of the candidate's efficacy. Although the ultrafiltration-LC/MS (UF-LC/MS) assay enables efficient ligand discovery for a specific target from a mixed pool of compounds, most previous analysis allowed for relative affinity ranking of different ligands. Moreover, the reliability of affinity measurement for multiple ligands with UF-LC/MS has hardly been strictly evaluated. In this study, we examined the accuracy of K-d determination through UF-LC/MS by comparison with classical ITC measurement. A single-point Kd calculation method was found to be suitable for affinity measurement of multiple ligands bound to the same target when binding competition is minimized. A second workflow based on analysis of the unbound fraction of compounds was then developed, which simplified sample preparation as well as warranted reliable ligand discovery. The new workflow implemented in a fragment mixture screen afforded rapid and sensitive detection of low-affinity ligands selectively bound to the RNA polymerase NS5B of hepatitis C virus. More importantly, ligand identification and affinity measurement for mixture-based fragment screens by UF-LC/MS were in good accordance with single ligand evaluation by conventional SPR analysis. This new approach is expected to become a valuable addition to the arsenal of high-throughput screening techniques for fragment-based drug discovery. (C) 2015 Elsevier B.V. All rights reserved.

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