首页> 外文OA文献 >Docking of molecules identified in bioactive medicinal plants extracts into the p50 NF-kappaB transcription factor: correlation with inhibition of NF-kappaB/DNA interactions and inhibitory effects on IL-8 gene expression.
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Docking of molecules identified in bioactive medicinal plants extracts into the p50 NF-kappaB transcription factor: correlation with inhibition of NF-kappaB/DNA interactions and inhibitory effects on IL-8 gene expression.

机译:在生物活性药用植物中鉴定的分子的对接提取物为p50 NF-κB转录因子:与NF-κB/ DNa相互作用的抑制和对IL-8基因表达的抑制作用的相关性。

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摘要

BACKGROUND: The transcription factor NF-kappaB is a very interesting target molecule for the design on anti-tumor, anti-inflammatory and pro-apoptotic drugs. However, the application of the widely-used molecular docking computational method for the virtual screening of chemical libraries on NF-kappaB is not yet reported in literature. Docking studies on a dataset of 27 molecules from extracts of two different medicinal plants to NF-kappaB-p50 were performed with the purpose of developing a docking protocol fit for the target under study. RESULTS: We enhanced the simple docking procedure by means of a sort of combined target- and ligand-based drug design approach. Advantages of this combination strategy, based on a similarity parameter for the identification of weak binding chemical entities, are illustrated in this work with the discovery of a new lead compound for NF-kappaB. Further biochemical analyses based on EMSA were performed and biological effects were tested on the compound exhibiting the best docking score. All experimental analysis were in fairly good agreement with molecular modeling findings. CONCLUSION: The results obtained sustain the concept that the docking performance is predictive of a biochemical activity. In this respect, this paper represents the first example of successfully individuation through molecular docking simulations of a promising lead compound for the inhibition of NF-kappaB-p50 biological activity and modulation of the expression of the NF-kB regulated IL8 gene.
机译:背景:转录因子NF-κB是设计抗肿瘤,抗炎和促凋亡药物的非常有趣的靶分子。然而,尚未有文献报道广泛使用的分子对接计算方法对NF-κB上的化学文库进行虚拟筛选。为了开发适合于所研究靶标的对接方案,对来自两种不同药用植物提取物的27个分子的数据集与NF-kappaB-p50进行了对接研究。结果:我们通过一种结合靶标和配体的药物设计方法,增强了简单的对接程序。在这项工作中,发现了一种用于NF-κB的新的先导化合物,从而说明了基于相似参数识别弱结合化学实体的这种联合策略的优势。进行了基于EMSA的进一步生化分析,并测试了表现出最佳对接分数的化合物的生物学效应。所有实验分析与分子模型研究结果都非常吻合。结论:获得的结果支持了对接性能可预测生化活性的概念。在这方面,本文代表了通过分子对接模拟成功的首个成功实例,该分子通过对有希望的抑制NF-kappaB-p50生物活性和调节NF-kB调控的IL8基因表达的先导化合物进行了模拟。

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