Multidimensional profiling of CSF1R screening hits and inhibitors: assessing cellular activity, target residence time, and selectivity in a higher throughput way
| Autor: | Willem-Jan F. Karstens, J.C.M. Uitdehaag, Cecile M. Sünnen, Elliott B. Nickbarg, Antoon M. van Doornmalen, Nikki de Rouw, Simone Ruygrok, Michael Ziebell, Arthur Oubrie, Rita Azevedo |
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| Rok vydání: | 2011 |
| Předmět: |
Cellular activity
MAP Kinase Signaling System Dissociation rate Receptor Macrophage Colony-Stimulating Factor Computational biology Biology Biochemistry Binding Competitive Analytical Chemistry Cell Line High-Throughput Screening Assays medicine Humans Protein Kinase Inhibitors Sunitinib Computational Biology Molecular biology Dasatinib Kinetics Homogeneous Tandutinib Molecular Medicine Selectivity Biotechnology medicine.drug Protein Binding |
| Zdroj: | Journal of biomolecular screening. 16(9) |
| ISSN: | 1552-454X |
| Popis: | Over the past years, improvements in high-throughput screening (HTS) technology and compound libraries have resulted in a dramatic increase in the amounts of good-quality screening hits, and there is a growing need for follow-on hit profiling assays with medium throughput to further triage hits. Here the authors present such assays for the colony-stimulating factor 1 receptor (CSF1R, Fms), including tests for cellular activity and a homogeneous assay to measure affinity for inactive CSF1R. They also present a high-throughput assay to measure target residence time, which is based on competitive binding kinetics. To better fit k(off) rates, they present a modified mathematical model for competitive kinetics. In all assays, they profiled eight reference inhibitors (imatinib, sorafenib, sunitinib, tandutinib, dasatinib, GW2580, Ki20227, and J&J's pyrido[2,3-d]pyrimidin-5-one). Using the known biochemical selectivities of these inhibitors, which can be quantified using metrics such as the selectivity entropy, the authors have determined which assay readout best predicts hit selectivity. Their profiling shows surprisingly that imatinib has a preference for the active form of CSF1R and that Ki20227 has an unusually slow target dissociation rate. This confirms that follow-on hit profiling is essential to ensure that the best hits are selected for lead optimization. |
| Databáze: | OpenAIRE |
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