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Calculating the effectiveness of some important anticancer herbal compounds against the main hallmarks of cancer

机译:计算一些重要的抗癌草药化合物对抗癌症的主要功效

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There is a mounting evidence that certain herbal compounds express strong activity against various types of cancer cells. Curcumin from Curcuma longa, resveratrol from Vitis vinifera, and artemisinin from Artemisia annua are few examples from the longer list of more than fifty anticancer herbs known. This is mostly due to the extreme complexity of cancer processes that an exact mechanism of anticancer activity of these compounds is still unknown. However, with the rise of powerful supercomputers and the advanced in silico models of cancer, our chances to understand these processes increased, and now we are in place to deliver more effective therapies than ever before. KEGG (Kyoto Encyclopedia of Genes and Genomes) cancer pathways are example of such in silico models. From KEGG cancer pathways, we were able to identify sixty-two oncogene proteins involved in the development, proliferation, angiogenesis, metastasis and resistance of cancer. From them, we selected those having the largest number of hits in Pubmed database related to each of these cancer hallmarks, and use supercomputer for docking simulations between them and certain anticancer herbal compounds. Significant activity of anticancer herbal compounds against oncogene proteins was found. We hope our research will setup pathways towards more effective therapies.
机译:越来越多的证据表明某些草药化合物对各种类型的癌细胞都表现出强大的活性。在已知的五十多种抗癌药中,很少有来自姜黄的姜黄素,来自葡萄的白藜芦醇和来自青蒿的青蒿素。这主要是由于癌症过程的极端复杂性,这些化合物的抗癌活性的确切机制仍然未知。但是,随着强大的超级计算机和先进的癌症计算机模型的兴起,我们了解这些过程的机会增加了,现在,我们可以提供比以往任何时候都更有效的疗法。 KEGG(基因和基因组京都百科全书)癌症途径是此类计算机模拟模型的示例。从KEGG癌症途径中,我们能够鉴定出62种癌基因蛋白,这些蛋白与癌症的发生,增殖,血管生成,转移和耐药有关。从他们中,我们选择了Pubmed数据库中与这些癌症特征相关的命中次数最多的那些,并使用超级计算机在它们与某些抗癌草药化合物之间进行对接模拟。发现抗癌草药化合物对癌基因蛋白具有显着活性。我们希望我们的研究将为实现更有效的治疗方法铺平道路。

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