论文标题
将病毒基因组序列中相关和准周期基序与过渡基因组映射结合和重建相关性和准周期基序：应用于COVID-19
Combining detection and reconstruction of correlational and quasi-periodic motifs in viral genomic sequences with transitional genome mapping: Application to COVID-19
论文作者
论文摘要
基因组本身（TAMGI）的过渡性自态映射方法旨在结合病毒基因组RNA/DNA序列中相关和准周期基序的检测和重建。 TAMGI重建的主题相对于indels和Point突变是可靠的，可以尝试作为推定的治疗靶标。我们开发并测试了TAMGI应用的相关理论和统计标准。通过研究在严重的急性呼吸综合征冠状病毒SARS-COV和SARS-COV-2（后者冠状病毒SARS-COV-2）中，tamgi的应用说明了tamgi的应用。这种核糖核糖剂被带入带有掺杂峰糖蛋白的球形膜包膜中。另外两个例子涉及二十面体帽，卫星烟叶病毒（STMV）和噬菌体PHIX174的病毒基因组。这些病毒基因组中的准周期基序的一部分是由于基因组ssRNA/ssDNA和核素蛋白之间的弱特异性合作相互作用而发展而来的。衣壳的对称性导致在相关基因组序列中自然选择特定的准周期基序。通常，TAMGI为研究众多分子机制提供了一种方便的工具，并参与了准周期基序和完整的重复序列，基因组组织，CIS/Trans调节元件的上下文分析，数据挖掘以及基因组序列中的相关性。
A method of Transitional Automorphic Mapping of the Genome on Itself (TAMGI) is aimed at combining detection and reconstruction of correlational and quasi-periodic motifs in the viral genomic RNA/DNA sequences. The motifs reconstructed by TAMGI are robust with respect to indels and point mutations and can be tried as putative therapeutic targets. We developed and tested the relevant theory and statistical criteria for TAMGI applications. The applications of TAMGI are illustrated by the study of motifs in the genomes of the severe acute respiratory syndrome coronaviruses SARS-CoV and SARS-CoV-2 (the latter coronavirus SARS-CoV-2 being responsible for the COVID-19 pandemic) packaged within filament-like helical capsid. Such ribonucleocapsid is transported into spherical membrane envelope with incorporated spike glycoproteins. Two other examples concern the genomes of viruses with icosahedral capsids, satellite tobacco mosaic virus (STMV) and bacteriophage PHIX174. A part of the quasi-periodic motifs in these viral genomes was evolved due to weakly specific cooperative interaction between genomic ssRNA/ssDNA and nucleocapsid proteins. The symmetry of the capsids leads to the natural selection of specific quasi-periodic motifs in the related genomic sequences. Generally, TAMGI provides a convenient tool for the study of numerous molecular mechanisms with participation of both quasi-periodic motifs and complete repeats, the genome organization, contextual analysis of cis/trans regulatory elements, data mining, and correlations in the genomic sequences.
