Discovery of potent NEK2 inhibitors as potential anticancer agents using structure-based exploration of NEK2 pharmacophoric space coupled with QSAR analyses

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• 作者：Mohammad A. Khanfar ; Fahmy Banat ; Shada Alabed ; Saja Alqtaishat
• 关键词：NEK2 ; QSAR ; Pharmacophore ; cancer
• 刊名：Molecular Diversity
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：21
• 期：1
• 页码：187-200
• 全文大小：
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Biochemistry, general; Organic Chemistry; Polymer Sciences; Pharmacy;
• 出版者：Springer International Publishing
• ISSN：1573-501X
• 卷排序：21

文摘

High expression of Nek2 has been detected in several types of cancer and it represents a novel target for human cancer. In the current study, structure-based pharmacophore modeling combined with multiple linear regression (MLR)-based QSAR analyses was applied to disclose the structural requirements for NEK2 inhibition. Generated pharmacophoric models were initially validated with receiver operating characteristic (ROC) curve, and optimum models were subsequently implemented in QSAR modeling with other physiochemical descriptors. QSAR-selected models were implied as 3D search filters to mine the National Cancer Institute (NCI) database for novel NEK2 inhibitors, whereas the associated QSAR model prioritized the bioactivities of captured hits for in vitro evaluation. Experimental validation identified several potent NEK2 inhibitors of novel structural scaffolds. The most potent captured hit exhibited an \(\hbox {IC}_{50}\) value of 237 nM.