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Multi-core Programming for Bio-Reaction Mining Model of Eugenol-Induced Apoptosis with Honey for Cancer Treatment

机译:丁醇诱导的蜂窝治疗肝癌凋亡的生物反应挖掘模型的多核规划

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The objective of the research work is to study and propose a bio reaction mining model in order to identify the exact nature of cancer cell conduct with honey and cinnamon in multi-core programming. The former diagnostic models and their fallouts divulge the molecular parallel reaction between cinnamaldehyde and honey with cancer cells. The proposed bio-reaction model encompasses the molecular simulation of the reaction mining to emphasize the effect of p53 increase, the bond weakening between ephrin B2 and eph receptors and through timely cell cycle disturbance. The reaction model is formally proved using sequent calculus. The mammoth molecular parallel reaction in the existence of a bio-catalyst with the de rigueur germane bio-ambience can be computationally modeled and simulated with the help of graph database Neo4j and Chemical Markup Language. The CUDA platform is used to run simulation for molecular parallel reactions across the three molecules and the results are shown.
机译:研究工作的目的是研究和提出生物反应挖掘模型,以确定在多核编程中用蜂蜜和肉桂进行癌细胞行为的确切性质。前者诊断模型及其辐射透露肉桂醛与蜂蜜与癌细胞之间的分子平行反应透露。所提出的生物反应模型包括反应挖掘的分子模拟,以强调p53增加的效果,通过及时细胞周期扰动和通过及时细胞周期扰动效果。使用序列结石正式证明反应模型。在具有DE Rigueur Germane Bio-ambience的生物催化剂存在中,可以在图表数据库Neo4J和化学标记语言的帮助下进行计算和模拟乳头催化剂。 CUDA平台用于在三种分子上运行用于分子平行反应的模拟,结果显示。

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