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通过同源模型辅助的基于结构的虚拟筛选和分子对接方法发现Nek6蛋白的新型抑制剂。

Discovery of novel inhibitors for Nek6 protein through homology model assisted structure based virtual screening and molecular docking approaches.

作者信息

Srinivasan P, Chella Perumal P, Sudha A

机构信息

Department of Bioinformatics, Alagappa University, Karaikudi, Tamilnadu 630 004, India.

出版信息

ScientificWorldJournal. 2014 Jan 22;2014:967873. doi: 10.1155/2014/967873. eCollection 2014.

Abstract

Nek6 is a member of the NIMA (never in mitosis, gene A)-related serine/threonine kinase family that plays an important role in the initiation of mitotic cell cycle progression. This work is an attempt to emphasize the structural and functional relationship of Nek6 protein based on homology modeling and binding pocket analysis. The three-dimensional structure of Nek6 was constructed by molecular modeling studies and the best model was further assessed by PROCHECK, ProSA, and ERRAT plot in order to analyze the quality and consistency of generated model. The overall quality of computed model showed 87.4% amino acid residues under the favored region. A 3 ns molecular dynamics simulation confirmed that the structure was reliable and stable. Two lead compounds (Binding database ID: 15666, 18602) were retrieved through structure-based virtual screening and induced fit docking approaches as novel Nek6 inhibitors. Hence, we concluded that the potential compounds may act as new leads for Nek6 inhibitors designing.

摘要

Nek6是NIMA(从不处于有丝分裂期,基因A)相关丝氨酸/苏氨酸激酶家族的成员,在有丝分裂细胞周期进程的启动中起重要作用。这项工作旨在基于同源建模和结合口袋分析强调Nek6蛋白的结构与功能关系。通过分子建模研究构建了Nek6的三维结构,并通过PROCHECK、ProSA和ERRAT图进一步评估最佳模型,以分析所生成模型的质量和一致性。计算模型的整体质量显示,87.4%的氨基酸残基处于有利区域。3纳秒的分子动力学模拟证实该结构可靠且稳定。通过基于结构的虚拟筛选和诱导契合对接方法检索到两种先导化合物(结合数据库ID:15666、18602)作为新型Nek6抑制剂。因此,我们得出结论,这些潜在化合物可能作为设计Nek6抑制剂的新先导物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3735/3920677/20f153a453b1/TSWJ2014-967873.001.jpg

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