通过虚拟筛选发现抗A549细胞增殖的新化合物

IF 0.4 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Chem-Bio Informatics Journal Pub Date : 2010-01-01 DOI:10.1273/CBIJ.10.46
P. A. Babu, P. A. Babu, M. Narasu, SRINIVAS KOLLI
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引用次数: 3

摘要

CDK2(细胞周期蛋白依赖性激酶2)作为癌症的潜在治疗靶点,已经做出了一些努力来寻找更特异性,有效和选择性的ATP竞争性CDK2抑制剂。在本文中,我们报告了一种虚拟筛选方法,基于我们先前研究中四种化合物所表现出的特征,从锌数据库中获得了54,558个Lipinski符合点。使用GOLD (Genetic optimization for Ligand Docking)软件对所有化合物进行对接和评分,以评估与CDK2酶2UZO的结合亲和力,结果对接得分在41.71 - 82.33 kcal/mol之间。根据CDK2和GSK-3β(糖原合成酶激酶-3β)之间的特异性对392个命中数据集进行筛选,获得17个对CDK2更具特异性的化合物。此外,对17个最佳停靠姿态进行重新评分,随后采用共识评分方法测试了五种不同的评分功能,如GOLD评分,GOLD 3.1中实现的CHEM评分,eHiTS_score(电子高通量筛选),Molegro软件的MolDock评分和X-Score检索到的顶级命中。最后,采用MTT法检测前十位化合物对人肺腺癌上皮细胞株A549的抑制增殖作用。
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Discovery of novel anti-proliferative compounds against A549 cells by virtual screening
CDK2 (Cyclin Dependent Kinase 2) acts as a potential therapeutic target in cancer and several efforts have been made to find more specific, potent and selective ATP competitive CDK2 inhibitors. In this paper, we report a virtual screening approach that resulted in 54,558 Lipinski compliant hits from ZINC database based on the features exhibited by four compounds from our previous study. Docking and scoring of all compounds using GOLD (Genetic Optimisation for Ligand Docking) software, to evaluate the affinity of binding towards CDK2 enzyme 2UZO resulted in dock scores between 41.71 - 82.33 kcal/mol. The resultant dataset of 392 hits were filtered based on the specificity between CDK2 and GSK-3β (Glycogen Synthase Kinase-3β) to obtain 17 compounds that are more specific towards CDK2. Further, re-scoring of 17 best docked poses followed by a consensus scoring approach tested with five different scoring functions such as GOLD score, CHEM score implemented in GOLD 3.1, eHiTS_score (electronic High Throughput Screening), MolDock score of Molegro software and X-Score retrieved top hits. Finally, the top ten compounds were examined for anti-proliferative effects against human lung adenocarcinoma epithelial cell line, A549 using MTT assay.
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来源期刊
Chem-Bio Informatics Journal
Chem-Bio Informatics Journal BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
0.60
自引率
0.00%
发文量
8
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