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应用基于多个扩展电子分布的配体剖析和特征树相似度搜索方法,发现新一代基于尿素的抗肿瘤激酶抑制剂。

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.

机构信息

Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.

出版信息

PLoS One. 2012;7(11):e49284. doi: 10.1371/journal.pone.0049284. Epub 2012 Nov 20.

Abstract

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 GI(50) 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.

摘要

本研究提供了一种全面的计算程序,用于发现新型基于脲的抗肿瘤激酶抑制剂,同时侧重于化学型和选择性模式的多样化。它对基于脲的激酶抑制剂的不同结合基序和相应的激酶酶的构型进行了系统的结构分析。该计算模型取决于同时应用两种方案。第一个方案应用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脲的激酶抑制剂复合物的基于结构的药效团过滤器。接着,根据不同的扩展电子分布(XED)模板对命中情况进行剖析,这些模板代表不同的激酶靶标。第二个方案通过使用特征树(Ftrees)相似性搜索算法对 NCI 数据库进行抗癌活性验证。作为概念验证研究,该组合方案通过在开发具有强大抗癌活性的新型基于脲的衍生物系列中的应用得到了实验验证。该新系列基于 3-苄基苯并[d]噻唑-2(3H)-酮支架,具有有趣的化学可行性和广泛的多样化能力。该系列的抗肿瘤活性在体外对 NCI 60 肿瘤细胞系进行了测定,表现出非常强的 GI(50)抑制作用,低至 0.9 μM。此外,它的机制是通过使用 KINEX™基于蛋白质激酶的微阵列小分子抑制剂分析平台和细胞周期分析来揭示的,显示出对 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,含有二苯脲的化合物对这种激酶具有高活性。总体而言,基于具有有趣化学多样化能力的新激酶支架的新系列表明,它通过扰乱多个未探索的激酶途径来表现出其“新兴”特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ea6/3502486/19722b38e278/pone.0049284.g001.jpg

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