Leiden/Amsterdam Center for Drug Research, Division of Medicinal Chemistry, VU University Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands.
J Med Chem. 2011 Dec 8;54(23):8195-206. doi: 10.1021/jm2011589. Epub 2011 Nov 7.
The recent crystal structure determinations of druggable class A G protein-coupled receptors (GPCRs) have opened up excellent opportunities in structure-based ligand discovery for this pharmaceutically important protein family. We have developed and validated a customized structure-based virtual fragment screening protocol against the recently determined human histamine H(1) receptor (H(1)R) crystal structure. The method combines molecular docking simulations with a protein-ligand interaction fingerprint (IFP) scoring method. The optimized in silico screening approach was successfully applied to identify a chemically diverse set of novel fragment-like (≤22 heavy atoms) H(1)R ligands with an exceptionally high hit rate of 73%. Of the 26 tested fragments, 19 compounds had affinities ranging from 10 μM to 6 nM. The current study shows the potential of in silico screening against GPCR crystal structures to explore novel, fragment-like GPCR ligand space.
最近对可药用 A 类 G 蛋白偶联受体 (GPCR) 的晶体结构测定为这个具有重要药物应用价值的蛋白家族的基于结构的配体发现开辟了极好的机会。我们已经开发并验证了一种针对最近确定的人组胺 H(1)受体 (H(1)R) 晶体结构的定制基于结构的虚拟片段筛选方案。该方法将分子对接模拟与蛋白-配体相互作用指纹 (IFP) 评分方法相结合。该优化的基于计算机的筛选方法成功地应用于鉴定了一组具有非常高的命中率 (73%) 的化学多样性的新型片段样 (≤22 个重原子) H(1)R 配体。在测试的 26 个片段中,有 19 种化合物的亲和力范围为 10 μM 至 6 nM。本研究表明,针对 GPCR 晶体结构进行计算机筛选具有探索新型片段样 GPCR 配体空间的潜力。