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A theoretical investigation on the predictability of genetic patterns
Chemical Physics ( IF 2.3 ) Pub Date : 2020-03-26 , DOI: 10.1016/j.chemphys.2020.110764
Richard Pinčák , Kabin Kanjamapornkul , Erik Bartoš

We propose the natural function of junk DNA and its relationship to cancer by using a string topology approach. We define the smallest subunit in the genetic code as a full braid group in biological time series data. It is a configuration space in protein folding over the transition states between DNA, RNA, and protein. We performed numerical simulations of (ITD-IMF)chain1(n) with real gene codes. The pattern of genetic variation in the telomerase RNA can be visualized with the help of images of spectral analysis of tensor correlation. This result shows that the methodology could be useful to detect genetic patterns and to find their relations to cancer genes. Also the result can be used to visually represent the time series of genetic code.



中文翻译:

遗传模式可预测性的理论研究

通过使用字符串拓扑方法,我们提出了垃圾DNA的天然功能及其与癌症的关系。我们将遗传密码中最小的亚单位定义为生物学时间序列数据中的完整辫子组。它是蛋白质折叠在DNA,RNA和蛋白质之间的过渡状态时的构型空间。我们进行了数值模拟ITD--国际货币基金组织1个ñ带有真实的基因密码。端粒酶RNA中遗传变异的模式可以借助张量相关光谱分析的图像可视化。该结果表明该方法可以用于检测遗传模式并发现其与癌症基因的关系。结果还可以用于直观地表示遗传密码的时间序列。

更新日期:2020-03-27
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