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DISCUSS THE INFLUENCE OF EMF ON KINASES BASED ON BIOINFORMATICS

机译:基于生物信息学探讨电动势对激酶的影响

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摘要

Based on known materials about influence of EMF on protein kinases' activation,it is very attractile to probe into EMF bio-effect of homologous unkown protein by use of HMM and related arithmetic. Namely, by analyzing current bio-molecular experimental data which reflect sensitivity to EMF,we can mine interesting data and sum up rules, then build up corresponding model,look for the characteristic sequences sensitive to EMF.EMF can produce bio-effect by affecting these characteristic sequences.So, it is helpful to predict if bio-molecules are sensitive to EMF and instruct related experiments. For instance, if the protome and genome databases sensitive to a certain frequence and intensity EMF can be built completely, it is available to search and predict if SARS has the related proteins and genes which are sensitive to a certain frequence and intensity EMF. Therefore, it is very helpful to develop the great project to therapy SARS by using EMF. The method to search protein sequences is very accurate,fast, convenient and fit for high flux disposal of and analysis on a mass of protein data.The method provides the available schemes to mine and identify potential sequences which are sensitive to EMF from large-scale protein data. Therefore, we can study deep the molecular mechanism of EMF bio-effect by adopting the method and combining related experimental data.
机译:基于有关EMF对蛋白激酶激活的影响的已知材料,利用HMM和相关算法探索同源未知蛋白的EMF生物效应非常具有吸引力。即,通过分析当前反映对EMF敏感性的生物分子实验数据,我们可以挖掘出有趣的数据并总结规则,然后建立相应的模型,寻找对EMF敏感的特征序列。EMF可以通过影响这些产生生物效应因此,预测生物分子是否对EMF敏感并指导相关实验很有帮助。例如,如果可以完全建立对某个频率和强度EMF敏感的原型和基因组数据库,则可以搜索和预测SARS是否具有对某个频率和强度EMF敏感的相关蛋白质和基因。因此,开发使用EMF治疗SARS的伟大项目非常有帮助。该蛋白质序列的搜索方法非常准确,快速,方便,适合大量蛋白质数据的高通量处理和分析。该方法提供了可利用的方案,以从大规模挖掘和识别对EMF敏感的潜在序列。蛋白质数据。因此,通过采用该方法并结合相关实验数据,我们可以深入研究EMF生物效应的分子机理。

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