Design and Screening of KLHL22 Inhibitors by Homology Modeling, Molecular Docking, and Molecular Dynamics Simulation

对接(动物) 可药性 化学 同源建模 分子动力学 虚拟筛选 计算生物学 立体化学 分子模型 拉马钱德兰地块 组合化学 计算化学 生物化学 蛋白质结构 基因 生物 医学 护理部
作者
Congmin Kang,Chenglong Gao,Chuance Sun,Lichuan Zhang,Haoran Zhang,Rilei Yu
出处
期刊:Letters in Drug Design & Discovery [Bentham Science Publishers]
卷期号:20 (3): 291-303
标识
DOI:10.2174/1570180819666220422101618
摘要

Background: Kelch-like protein 22 (KLHL22) was a newly discovered proto-oncogene and it is highly expressed in multiple breast cancer cell lines. Inhibition of KLHL22 can induce autophagy in tumor cells by regulating the mTORC1 pathway. Methods: In this study, the structure of the KLHL22 protein was predicted by homology modelling. The model was evaluated by Ramachandran Plot and Profile-3D. Virtual screening of a drug-like small molecule library of 400,000 compounds was performed, and six potentially active compounds were obtained. Results: Among them, compound 1 had the best docking posture with docking energy of -8.42 kcal/mol. Therefore, we further modified the structure of compound 1. 12 unreported compounds with lower docking energies were obtained. The results of ADMET prediction performed on them showed good druggability. The 60 ns molecular dynamics simulations were performed for compounds 1 and 10. MD studies showed that the complexes had stable RMSD, and the compounds formed good H-bonds interactions with essential amino acids (ASP64, TRP192). Conclusion: These results may provide new insights into the design and development of potent novel KLHL22 inhibitors.

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