Cayman Chemical Co, 1180 E. Ellsworth Rd, Ann Arbor, MI, 48108, USA.
BMC Mol Cell Biol. 2019 Aug 27;20(1):37. doi: 10.1186/s12860-019-0212-5.
The EP prostanoid receptor is one of four GPCRs that mediate the diverse actions of prostaglandin E (PGE). Novel selective EP receptor agonists would assist to further elucidate receptor sub-type function and promote development of therapeutics for bone healing, heart failure, and other receptor associated conditions. The rat EP (rEP) receptor has been used as a surrogate for the human EP (hEP) receptor in multiple SAR studies. To better understand the validity of this traditional approach, homology models were generated by threading for both receptors using the RaptorX server. These models were fit to an implicit membrane using the PPM server and OPM database with refinement of intra and extracellular loops by Prime (Schrödinger). To understand the interaction between the receptors and known agonists, induced-fit docking experiments were performed using Glide and Prime (Schrödinger), with both endogenous agonists and receptor sub-type selective, small-molecule agonists. The docking scores and observed interactions were compared with radioligand displacement experiments and receptor (rat & human) activation assays monitoring cAMP.
Rank-ordering of in silico compound docking scores aligned well with in vitro activity assay EC and radioligand binding K. We observed variations between rat and human EP binding pockets that have implications in future small-molecule receptor-modulator design and SAR, specifically a S103G mutation within the rEP4 receptor. Additionally, these models helped identify key interactions between the EP receptor and ligands including PGE and several known sub-type selective agonists while serving as a marked improvement over the previously reported models.
This work has generated a set of novel homology models of the rEP and hEP receptors. The homology models provide an improvement upon the previously reported model, largely due to improved solvation. The hEP docking scores correlates best with the cAMP activation data, where both data sets rank order Rivenprost>CAY10684 > PGE ≈ PGE > 11-deoxy-PGE ≈ 11-dexoy-PGE > 8-aza-11-deoxy-PGE. This rank-ordering matches closely with the rEP receptor as well. Species-specific differences were noted for the weak agonists Sulprostone and Misoprostol, which appear to dock more readily within human receptor versus rat receptor.
EP 前列腺素受体是介导前列腺素 E(PGE)多种作用的四个 GPCR 之一。新型选择性 EP 受体激动剂将有助于进一步阐明受体亚型功能,并促进骨愈合、心力衰竭和其他受体相关疾病的治疗药物的开发。在多项 SAR 研究中,大鼠 EP(rEP)受体已被用作人 EP(hEP)受体的替代品。为了更好地理解这种传统方法的有效性,使用 RaptorX 服务器对这两种受体进行了基于线程的同源建模。使用 PPM 服务器和 OPM 数据库将这些模型拟合到隐式膜中,并使用 Prime(Schrödinger)对细胞内和细胞外环进行细化。为了了解受体与已知激动剂之间的相互作用,使用 Glide 和 Prime(Schrödinger)进行了诱导契合对接实验,包括内源性激动剂和受体亚型选择性小分子激动剂。将对接评分和观察到的相互作用与放射性配体置换实验和监测 cAMP 的受体(大鼠和人)激活测定进行了比较。
计算机化合物对接评分的排序与体外活性测定 EC 和放射性配体结合 K 非常吻合。我们观察到大鼠和人 EP 结合口袋之间的变化,这对未来小分子受体调节剂设计和 SAR 具有重要意义,特别是 rEP4 受体中的 S103G 突变。此外,这些模型有助于确定 EP 受体与配体之间的关键相互作用,包括 PGE 和几种已知的亚型选择性激动剂,同时作为对以前报道的模型的显著改进。
这项工作生成了一组大鼠和人 EP 受体的新型同源模型。同源模型由于改进了溶剂化作用,因此优于以前报道的模型。hEP 对接评分与 cAMP 激活数据相关性最好,两个数据集的排序顺序为 Rivenprost>CAY10684> PGE≈PGE>11-去氧-PGE≈11-去氧-PGE>8-氮杂-11-去氧-PGE。这种排序与 rEP 受体也非常吻合。对于弱激动剂 Sulprostone 和 Misoprostol,注意到了种属特异性差异,它们似乎更容易在人受体中而不是大鼠受体中结合。