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Applying Ligands Profiling Using Multiple Extended Electron Distribution Based Field Templates and Feature Trees Similarity Searching in the Discovery of New Generation of Urea-Based Antineoplastic Kinase Inhibitors

机译:应用配体谱研究新一代的尿素类抗肿瘤激酶抑制剂的发现使用基于多个扩展电子分布字段模板和功能树相似性检索

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摘要

This study provides a comprehensive computational procedure for the discovery of novel urea-based antineoplastic kinase inhibitors while focusing on diversification of both chemotype and selectivity pattern. It presents a systematic structural analysis of the different binding motifs of urea-based kinase inhibitors and the corresponding configurations of the kinase enzymes. The computational model depends on simultaneous application of two protocols. The first protocol applies multiple consecutive validated virtual screening filters including SMARTS, support vector-machine model (ROC = 0.98), Bayesian model (ROC = 0.86) and structure-based pharmacophore filters based on urea-based kinase inhibitors complexes retrieved from literature. This is followed by hits profiling against different extended electron distribution (XED) based field templates representing different kinase targets. The second protocol enables cancericidal activity verification by using the algorithm of feature trees (Ftrees) similarity searching against NCI database. Being a proof-of-concept study, this combined procedure was experimentally validated by its utilization in developing a novel series of urea-based derivatives of strong anticancer activity. This new series is based on 3-benzylbenzo[d]thiazol-2(3H)-one scaffold which has interesting chemical feasibility and wide diversification capability. Antineoplastic activity of this series was assayed in vitro against NCI 60 tumor-cell lines showing very strong inhibition of GI50 as low as 0.9 uM. Additionally, its mechanism was unleashed using KINEX™ protein kinase microarray-based small molecule inhibitor profiling platform and cell cycle analysis showing a peculiar selectivity pattern against Zap70, c-src, Mink1, csk and MeKK2 kinases. Interestingly, it showed activity on syk kinase confirming the recent studies finding of the high activity of diphenyl urea containing compounds against this kinase. Allover, the new series, which is based on a new kinase scaffold with interesting chemical diversification capabilities, showed that it exhibits its “emergent” properties by perturbing multiple unexplored kinase pathways.
机译:这项研究为新型尿素类抗肿瘤激酶抑制剂的发现提供了全面的计算程序,同时侧重于化学型和选择性模式的多样化。它提供了基于尿素的激酶抑制剂的不同结合基序和激酶酶的相应配置的系统结构分析。计算模型取决于两个协议的同时应用。第一个协议应用了多个连续的经过验证的虚拟筛选过滤器,包括SMARTS,支持向量机模型(ROC = 0.98),贝叶斯模型(ROC = 0.86)和基于从文献中检索到的基于尿素的激酶抑制剂复合物的基于结构的药效团过滤器。接下来是针对代表不同激酶靶标的基于不同扩展电子分布(XED)的场模板进行命中分析。第二种协议通过使用针对NCI数据库的特征树(Ftrees)相似性搜索算法来实现杀癌活性验证。作为一项概念验证研究,该组合方法通过其在开发一系列具有强大抗癌活性的新型脲​​基衍生物中的应用进行了实验验证。该新系列基于3-苄基苯并[d]噻唑-2(3H)-一支架,该支架具有令人感兴趣的化学可行性和广泛的多样化能力。在体外针对NCI 60肿瘤细胞系测定了该系列的抗肿瘤活性,显示出对GI50的抑制作用非常强,低至0.9 uM。此外,使用基于KINEX™蛋白激酶微阵列的小分子抑制剂谱分析平台和细胞周期分析揭示了其机制,显示出针对Zap70,c-src,Mink1,csk和MeKK2激酶的独特选择性模式。有趣的是,它对syk激酶表现出活性,证实了最近的研究发现含二苯脲的化合物对这种激酶具有高活性。总而言之,新系列基于具有有趣的化学多样化功能的新型激酶支架,表明它通过干扰多个未探索的激酶途径而展现出其“新兴”特性。

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