Identification of Potent Chloride Intracellular Channel Protein 1 Inhibitors from Traditional Chinese Medicine through Structure-Based Virtual Screening and Molecular Dynamics Analysis

被引:8
作者
Wang, Wei [1 ,2 ,3 ,4 ]
Wan, Minghui [5 ,6 ]
Liao, Dongjiang [2 ,3 ,4 ]
Peng, Guilin [1 ,2 ,3 ,4 ]
Xu, Xin [1 ,2 ,3 ,4 ]
Yin, Weiqiang [1 ,2 ,3 ,4 ]
Guo, Guixin [7 ]
Jiang, Funeng [8 ]
Zhong, Weide [8 ]
He, Jianxing [1 ,2 ,3 ,4 ]
机构
[1] Guangzhou Med Univ, Affiliated Hosp 1, Dept Thorac Surg, Guangzhou 510120, Guangdong, Peoples R China
[2] Guangzhou Inst Resp Dis, Guangzhou 510120, Guangdong, Peoples R China
[3] China State Key Lab Resp Dis, Guangzhou 510120, Guangdong, Peoples R China
[4] Natl Resp Dis Clin Res Ctr, Guangzhou 510000, Guangdong, Peoples R China
[5] Southern Med Univ, Guangzhou 510000, Guangdong, Peoples R China
[6] Guangzhou Med Univ, Affiliated Hosp 1, Dept Radiat Oncol, Guangzhou 510120, Guangdong, Peoples R China
[7] Natl Supercomp Ctr Guangzhou, Guangzhou 510000, Guangdong, Peoples R China
[8] Guangzhou Med Univ, Guangzhou Peoples Hosp 1, Guangdong Key Lab Clin Mol Med & Diagnost, Dept Urol, Guangzhou 510180, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
ION-CHANNEL; SCORING FUNCTIONS; MTOR INHIBITORS; CLIC1; EXPRESSION; DISCOVERY; PERFORMANCE; ACCURACY; DOCKING; FORM;
D O I
10.1155/2017/4751780
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Chloride intracellular channel 1 (CLIC1) is involved in the development of most aggressive human tumors, including gastric, colon, lung, liver, and glioblastoma cancers. It has become an attractive new therapeutic target for several types of cancer. In this work, we aim to identify natural products as potent CLIC1 inhibitors from Traditional Chinese Medicine (TCM) database using structure-based virtual screening and molecular dynamics (MD) simulation. First, structure-based docking was employed to screen the refined TCM database and the top 500 TCM compounds were obtained and reranked by X-Score. Then, 30 potent hits were achieved from the top 500 TCM compounds using cluster and ligand-protein interaction analysis. Finally, MD simulation was employed to validate the stability of interactions between each hit and CLIC1 protein from docking simulation, and Molecular Mechanics/Generalized Born Surface Area (MM-GBSA) analysis was used to refine the virtual hits. Six TCM compounds with top MM-GBSA scores and ideal-binding models were confirmed as the final hits. Our study provides information about the interaction between TCM compounds and CLIC1 protein, which may be helpful for further experimental investigations. In addition, the top 6 natural products structural scaffolds could serve as building blocks in designing drug-like molecules for CLIC1 inhibition.
引用
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页数:10
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