Statistical molecular identification of kinase inhibitors to disrupt c-Jun N-terminal protein kinase involved in paraquat-mediated toxicological effects

被引:0
作者
Yang, Yu-Ping [1 ]
Jin, Yu-Mei [2 ]
Zhu, Zhi-Yuan [3 ]
机构
[1] Xinxiang Med Univ, Coll Pharm, Xinxiang 453003, Peoples R China
[2] Fengxian Dist Hosp Tradit Chinese Med, Shanghai 200199, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Suzhou Kowloon Hosp, Cent Lab, Suzhou 215021, Peoples R China
关键词
JNK kinase; kinase inhibitor; paraquat; statistical molecular identification; toxicological effect; PARKINSONS-DISEASE; JNK; BINDING; SIMULATIONS; DOCKING; DEATH;
D O I
10.1002/cem.2905
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Paraquat is a toxic chemical that is widely used as an herbicide (plant killer), primarily for weed and grass control. Recently, kinase inhibitors have shown great potential against paraquat-mediated toxicological effects and, specifically, the c-JunN-terminal protein kinase (JNK) was found as a new and promising target for relieving the paraquat toxicity. Here, we developed a statistical molecular identification protocol that systematically profiles a variety of existing kinase inhibitors against JNK. A consensus molecular docking strategy was developed to examine the binding behavior of inhibitor candidates, from which top-8 hit compounds were selected and tested; several compounds were found to show high or moderate inhibitory potency against JNK with IC50 values at nanomolar level, which are comparable to the sophisticated JNK inhibitor SP600125. We also performed atomistic molecular dynamics simulations and post binding free energy analyses to dissect the structural basis, energetic property, and biological implication underlying the intermolecular interaction of JNK kinase domain with these promising compounds, highlighting the complicated interaction pattern between the kinase and potent hit compounds.
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页数:7
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