European journal of medicinal chemistry · 2023
Development of chalcone-like derivatives and their biological and mechanistic investigations as novel influenza nuclear export inhibitors.
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Liu Chuanfeng, Zhang Ying, Li Ping, Jia Huinan, Ju Han, Zhang Jiwei, Ferreira da Silva-Júnior Edeildo, Samanta Sunanda, Kar Parimal, Huang Bing, Liu Xinyong, Zhan Peng
Аннотация
Concerning the emergence of resistance to current anti-influenza drugs, our previous phenotypic-based screening study identified the compound A9 as a promising lead compound. This chalcone analog, containing a 2,6-dimethoxyphenyl moiety, exhibited significant inhibitory activity against oseltamivir-resistant strains (H1N1 pdm09), with an EC50 value of 1.34 μM. However, it also displayed notable cytotoxicity, with a CC50 value of 41.46 μM. Therefore, compound A9 was selected as a prototype structure for further structural optimization in this study. Initially, it was confirmed that the substituting the α,β-unsaturated ketone with pent-1,4-diene-3-one as a linker group significantly reduced the cytotoxicity of the final compounds. Subsequently, the penta-1,4-dien-3-one group was utilized as a privileged fragment for further structural optimization. Following two subsequent rounds of optimizations, we identified compound IIB-2, which contains a 2,6-dimethoxyphenyl- and 1,4-pentadiene-3-one moieties. This compound exhibited inhibitory effects on oseltamivir-resistant strains comparable to its precursor (compound A9), while demonstrating reduced toxicity (CC50 > 100 μM). Furthermore, we investigated its mechanism of action against anti-influenza virus through immunofluorescence, Western blot, and surface plasmon resonance (SPR) experiments. The results revealed that compound IIB-2 can impede virus proliferation by blocking the export of influenza virus nucleoprotein. Thusly, our findings further emphasize influenza nuclear export as a viable target for designing novel chalcone-like derivatives with potential inhibitory properties that could be explored in future lead optimization studies.