Publications by authors named "Kaiyan Zhao"

Agonists of the stimulator of interferon genes (STING) pathway are increasingly being recognized as a promising new approach in the treatment of cancer. Although progress in clinical trials for STING agonists in antitumor applications has been slow, there is still an urgent need for developing new potent STING agonists with versatile potential applications. Herein, we developed and identified a non-nucleotide STING agonist called DW18343.

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Disruption of EZH2-embryonic ectoderm development (EED) protein-protein interaction (PPI) is a new promising cancer therapeutic strategy. We have previously reported the discovery of astemizole, a small-molecule inhibitor targeting the EZH2-EED PPI. Herein, we report the cocrystal structure of EED in complex with astemizole at 2.

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In this paper, we investigate the dynamical behavior of a two-group SVIR epidemic model with random effect. Firstly, the two-group SVIR epidemic model with random perturbation of natural death rate is established. The existence and uniqueness of positive solution are proved by using stopping time theory and the Lyapunov analysis method.

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The purpose of this work was to prepare and characterize Angiopep-2 functionalized ginsenoside-Rg3 loaded nanoparticles (ANG-Rg3-NP) and evaluate the therapeutic effect on C6 glioma cells. Nanoparticles were prepared by the emulsion solvent evaporation method. Angiopep-2 was functionalized to nanoparticles via a maleimide-thiol covalent binding reaction to obtain ANG-Rg3-NP.

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Excessive nitrogen (N) discharge from agriculture causes widespread problems in aquatic ecosystems. Knowledge of spatiotemporal patterns and source attribution of N pollution is critical for nutrient management programs but is poorly studied in headwaters with various small water bodies and mini-point pollution sources. Taking a typical small watershed in the low mountains of Southeastern China as an example, N pollution and source attribution were studied for a multipond system around a village using the Hydrological Simulation Program-Fortran (HSPF) model.

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