药效团
虚拟筛选
细胞周期蛋白依赖激酶
计算生物学
激酶
细胞周期蛋白依赖激酶2
化学
丝氨酸
计算机科学
配体(生物化学)
细胞周期
生物
生物化学
蛋白激酶A
酶
细胞
受体
作者
Marco Tutone,Giulia Culletta,Luca Livecchi,Anna Maria Almerico
出处
期刊:Current Drug Discovery Technologies
[Bentham Science]
日期:2020-12-23
卷期号:17 (5): 740-747
被引量:2
标识
DOI:10.2174/1570163816666190620113944
摘要
Cyclin Dependent Kinases-2 (CDK2) are members of serine/threonine protein kinases family. They play an important role in the regulation events of the eukaryotic cell division cycle, especially during the G1 to S phase transition. Experimental evidence indicate that excessive expression of CDK2s should cause abnormal cell cycle regulation. Therefore, since a long time, CDK2s have been considered potential therapeutic targets for cancer therapy. In this work, onehundred and forty-nine complexes of inhibitors bound in the CDK2-ATP pocket were submitted to short MD simulations (10ns) and free energy calculation. Comparison with experimental data (K<sub>i</sub>, K<sub>d</sub> and pIC<sub>50</sub>) revealed that short simulations are exhaustive to examine the crucial ligand-protein interactions within the complexes. Information collected on MD simulations of protein-ligand complexes has been used to perform a molecular modelling approach that incorporates flexibility into structure-based pharmacophore modelling (Common Hits Approach, CHA). The high number of pharmacophore models resulting from the MD simulation was thus reduced to a few representative groups of pharmacophore models. The performance of the models has been assessed by using the ROC curves analysis. This definitive set of validated pharmacophore models could be used to screen in-house and/or commercial datasets for detection of new CDK-2 inhibitors. We provide the models to all the researchers involved in this field.
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