Turner Lewis D, Summers Abbey J, Johnson Laura O, Knowles Margaret A, Fishwick Colin W G
School of Chemistry and Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, LS2 9JT, U.K.
ACS Med Chem Lett. 2017 Nov 11;8(12):1264-1268. doi: 10.1021/acsmedchemlett.7b00349. eCollection 2017 Dec 14.
Structure-based drug design (SBDD) has become a powerful tool utilized by medicinal chemists to rationally guide the drug discovery process. Herein, we describe the use of SPROUT, a -based program, to identify an indazole-based pharmacophore for the inhibition of fibroblast growth factor receptor (FGFR) kinases, which are validated targets for cancer therapy. Hit identification using SPROUT yielded 6-phenylindole as a small fragment predicted to bind to FGFR1. With the aid of docking models, several modifications to the indole were made to optimize the fragment to an indazole-containing pharmacophore, leading to a library of compounds containing 23 derivatives. Biological evaluation revealed that these indazole-containing fragments inhibited FGFR1-3 in the range of 0.8-90 μM with excellent ligand efficiencies of 0.30-0.48. Some compounds exhibited moderate selectivity toward individual FGFRs, indicating that further optimization using SBDD may lead to potent and selective inhibitors of the FGFR family.
基于结构的药物设计(SBDD)已成为药物化学家用于合理指导药物发现过程的强大工具。在此,我们描述了使用基于SPROUT的程序来鉴定用于抑制成纤维细胞生长因子受体(FGFR)激酶的基于吲唑的药效团,FGFR激酶是癌症治疗的有效靶点。使用SPROUT进行的命中化合物鉴定得到了6-苯基吲哚作为预测与FGFR1结合的小片段。借助对接模型,对吲哚进行了若干修饰,以将该片段优化为含吲唑的药效团,从而得到了一个包含23种衍生物的化合物库。生物学评估表明,这些含吲唑的片段在0.8 - 90 μM范围内抑制FGFR1 - 3,配体效率优异,为0.30 - 0.48。一些化合物对单个FGFR表现出适度的选择性,表明使用SBDD进行进一步优化可能会产生强效且选择性的FGFR家族抑制剂。