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DISCUSS THE INFLUENCE OF EMF ON KINASES BASED ON BIOINFORMATICS

机译:基于生物信息学基于生物信息学的EMF对激酶的影响

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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:基于关于EMF对蛋白激酶激活的影响的已知材料,通过使用HMM和相关算术,对同源不舒服蛋白的EMF生物效应的探针非常令人惊讶。即,通过分析反映对EMF的敏感性的当前生物分子实验数据,我们可以挖掘有趣的数据和总结规则,然后建立相应的模型,寻找对EMF.emf敏感的特征序列可以通过影响这些来产生生物效应特征序列。所以预测生物分子对EMF敏感并指导相关实验是有帮助的。例如,如果可以完全构建对某种频率和强度EMF敏感的蛋白质和基因组数据库,则可以搜索和预测SARS具有对某种频率和强度EMF敏感的相关蛋白质和基因。因此,通过使用EMF将伟大的项目开发出疗法SARS非常有帮助。搜索蛋白质序列的方法非常精确,快速,方便,适合高通量处理和分析蛋白质数据的分析。该方法为矿井提供了可用的方案,并识别从大规模对EMF敏感的潜在序列蛋白质数据。因此,我们可以通过采用该方法和结合相关的实验数据来研究EMF生物效应的深度分子机制。

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