Parameters of pharmacophore hypothesis generation;Parameters of validation and screening;Chemistry;NMR Spectrum of compounds from Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents
journal contributionposted on 14.06.2018 by Jinxin Che, Zhilong Wang, Haichao Sheng, Feng Huang, Xiaowu Dong, Youhong Hu, Xin Xie, Yongzhou Hu
Any type of content formally published in an academic journal, usually following a peer-review process.
Metastatic cancer is considered a fatal progression of cancer worldwide. It has been shown that a key player in this scenario is the CXC chemokine receptor 2 (CXCR2). To identify novel CXCR2 antagonists, a pharmacophore model was built with HipHop program by screening a database containing compounds which were designed based on the known structure–activity relationship (SAR) of the diarylurea series CXCR2 antagonists. Compound 1a bearing the novel skeleton was selected from database screening and subjected to the in vitro biological test which resulted in a moderate CXCR2 antagonist potential. With further modification and exploration of SAR, compound 1e demonstrated improved CXCR2 antagonist activity with an IC50 value of 14.8 μM. Furthermore, wound healing assay using the NCI-H1299 cell line indicated that 1e showed an excellent anti-cancer metastatic effect (72% inhibition in cell migration at 50 μg ml−1).