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首页> 外文期刊>Journal of Proteins and Proteomics >Computational analysis of regulatory genes network pathways among devastating cancer diseases
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Computational analysis of regulatory genes network pathways among devastating cancer diseases

机译:毁灭性癌症疾病中调节基因网络途径的计算分析

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Breast cancer (BC), Endometrial cancer (EC) and Ovarian cancer are devastating diseases among women, because the ratio of death is very high for these three cancers. The arising point of endometrial cancer is uterus, which is a pelvic organ and development of fatal occur in uterus. Among all the risk factors of endometrial cancer, the prominent position is held by breast cancer, because a significant amount of molecular pathways, as well as seed genes, are linked with one another. There are two ovaries in the reproductive system of female and the positions of these ovaries are in both side of uterus. Ovary is the place, where ovarian cancer arises from. The present study attempts to find the common gene among BC, EC and OC. Reduction of gene rate is achieved through the preprocessing and filtering process. Protein–protein interaction (PPIs) network is designed for 335 common gene generated from gene mining process. Topological analysis finally provides ten common genes necessary for analysis of pathways, Gene regulatory Network (GRN), co-expression, physical interaction network. Gene ontology analysis generates better understanding of biological process, cellular component and molecular functioning. Interaction of proteins with drug molecules comes up with efficient drug design for this research.
机译:乳腺癌(BC),子宫内膜癌(EC)和卵巢癌是女性的破坏性疾病,因为这三种癌症的死亡率非常高。子宫内膜癌的产生点是子宫,这是子宫内骨盆器官和致命的发育。在子宫内膜癌的所有风险因素中,突出的位置被乳腺癌保持,因为大量的分子途径以及种子基因彼此连接。在女性的生殖系统中有两个卵巢,这些卵巢的位置在子宫的两侧。卵巢是卵巢癌的地方。本研究试图在BC,EC和OC中寻找常见基因。通过预处理和过滤过程实现基因率的降低。蛋白质 - 蛋白质相互作用(PPI)网络设计用于335个从基因采矿过程产生的常见基因。拓扑分析最终提供了10种常见基因,用于分析途径,基因调节网络(GRN),共表达,物理相互作用网络。基因本体学分析产生更好地了解生物过程,细胞组分和分子功能。蛋白质与药物分子的相互作用提出了有效的药物设计。

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