Kiss Róbert, Kiss Béla, Könczöl Arpád, Szalai Ferenc, Jelinek Ivett, László Valéria, Noszál Béla, Falus András, Keseru György M
Gedeon Richter Plc, Budapest, Hungary.
J Med Chem. 2008 Jun 12;51(11):3145-53. doi: 10.1021/jm7014777. Epub 2008 May 7.
A structure-based virtual screening (SBVS) was conducted on a ligand-supported homology model of the human histamine H4 receptor (hH4R). More than 8.7 million 3D structures derived from different vendor databases were investigated by docking to the hH4R binding site using FlexX. A total of 255 selected compounds were tested by radioligand binding assay and 16 of them possessed significant [(3)H]histamine displacement. Several novel scaffolds were identified that can be used to develop selective H4 ligands in the future. As far as we know, this is the first SBVS reported on H4R, representing one of the largest virtual screens validated by the biological evaluation of the virtual hits.
基于结构的虚拟筛选(SBVS)是在人组胺H4受体(hH4R)的配体支持同源模型上进行的。使用FlexX对接hH4R结合位点,研究了来自不同供应商数据库的超过870万个三维结构。通过放射性配体结合试验对总共255种选定化合物进行了测试,其中16种具有显著的[³H]组胺置换作用。鉴定出了几种新型骨架,可用于未来开发选择性H4配体。据我们所知,这是首次报道的关于H4R的SBVS,代表了通过虚拟命中物的生物学评估验证的最大规模虚拟筛选之一。