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• W2766252010 endingPage "405" @default.
• W2766252010 startingPage "393" @default.
• W2766252010 abstract "Searching for hit compounds within the huge chemical space resembles the attempt to find a needle in a haystack. Cheminformatics-guided selection of few representative molecules of a rationally designed virtual combinatorial library is a powerful tool to confront this challenge, speed up hit identification and cut off costs. Herein, this approach has been applied to identify hit compounds with novel scaffolds able to inhibit EGFR kinase. From a generated virtual library, six 4-aryloxy-5-aminopyrimidine scaffold-derived compounds were selected, synthesized and evaluated as hit EGFR inhibitors. 4-Aryloxy-5-benzamidopyrimidines inhibited EGFR with IC50 1.05–5.37 μM. Cell-based assay of the most potent EGFR inhibitor hit (10ac) confirmed its cytotoxicity against different cancerous cells. In spite of no EGFR, HER2 or VEGFR1 inhibition was elicited by 4-aryloxy-5-(thio)ureidopyrimidine derivatives, cell-based evaluation suggested them as antiproliferative hits acting by other mechanism(s). Molecular docking study provided a plausible explanation of incapability of 4-aryloxy-5-(thio)ureidopyrimidines to inhibit EGFR and suggested a reasonable binding mode of 4-aryloxy-5-benzamidopyrimidines which provides a basis to develop more optimized ligands." @default.
• W2766252010 created "2017-11-10" @default.
• W2766252010 creator A5004061152 @default.
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• W2766252010 date "2017-12-01" @default.
• W2766252010 modified "2023-10-17" @default.
• W2766252010 title "Hit discovery of 4-amino- N -(4-(3-(trifluoromethyl)phenoxy)pyrimidin-5-yl)benzamide: A novel EGFR inhibitor from a designed small library" @default.
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• W2766252010 doi "https://doi.org/10.1016/j.bioorg.2017.10.009" @default.
• W2766252010 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29102722" @default.
• W2766252010 hasPublicationYear "2017" @default.
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