Integration of virtual screening with high-throughput flow cytometry to identify novel small molecule formylpeptide receptor antagonists

被引:80
作者
Edwards, BS
Bologa, C
Young, SM
Balakin, KV
Prossnitz, ER
Savchuck, NP
Sklar, LA
Oprea, TI
机构
[1] Univ New Mexico, Hlth Sci Ctr, Dept Biocomp, Div Biocomp, Albuquerque, NM 87131 USA
[2] Univ New Mexico, Hlth Sci Ctr, Dept Cytometry, Albuquerque, NM 87131 USA
[3] Univ New Mexico, Hlth Sci Ctr, Dept Pathol, Albuquerque, NM 87131 USA
[4] Univ New Mexico, Hlth Sci Ctr, Dept Cell Biol & Physiol, Albuquerque, NM 87131 USA
[5] Chem Divers Labs Inc, San Diego, CA USA
关键词
D O I
10.1124/mol.105.014068
中图分类号
R9 [药学];
学科分类号
1007 [药学];
摘要
The formylpeptide receptor (FPR) family of G-protein-coupled receptors contributes to the localization and activation of tissue-damaging leukocytes at sites of chronic inflammation. We developed a FPR homology model and pharmacophore ( based on the bovine rhodopsin crystal structure and known FPR ligands, respectively) for in silico screening of similar to 480,000 drug-like small molecules. A subset of 4324 compounds that matched the pharmacophore was then physically screened with the HyperCyt flow cytometry platform in high-throughput, no-wash assays that directly measure human FPR binding, with samples (each similar to 2500 cells in 2 mu l) analyzed at 40/min. From 52 confirmed hits (1.2% hit rate), we identified 30 potential lead compounds ( inhibition constant, K-i = 1 - 32 mu M) representing nine distinct chemical families. Four compounds in one family were weak partial agonists. All others were antagonists. This virtual screening approach improved the physical screening hit rate by 12-fold ( versus 0.1% hit-rate in a random compound collection), providing an efficient process for identifying small molecule antagonists.
引用
收藏
页码:1301 / 1310
页数:10
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