Background: The infection caused by the dengue fever virus is a severe threat to public health on a global scale; nevertheless, there is currently no effective medical treatment or vaccine available to prevent or treat the condition. Objective: To better understand the physicochemical regularities of these proteins, it is necessary to carry out a computational multiparametric study of the amino acid sequences of envelope proteins expressed by the dengue fever virus and obtain a bioinformatics method that can use the subsequences of the training protein group to figure out the preponderant function of a protein, up to its sequence. Methods: Essentially, at the amino acid level, various computational programs were applied to the sequences expressing the dengue virus envelope glycoproteins to determine the PIM 2.0 v profile and the Protein Intrinsic Disorder Predisposition (PIDP) profile of each protein, and then, at the nucleotide level, a set of programs for genomic analysis was applied. Finally, these results were contrasted with statistical tests. Results: The re-creation of structural morphological similarities provided by specific regularities in the PIM 2.0 v profile and PIDP of the proteins from diverse dengue fever virus envelopes made it possible to propose a computer method that employs the PIM 2.0 v profile to identify this group of proteins based on their sequences; based on our findings, this method is a "fingerprint" of this protein group. Conclusions: The typical PIM 2.0 v profiles of the dengue fever virus proteins might be reproduced by computational tools. This knowledge will be helpful in gaining a better understanding of the newly discovered virus. Moreover, the method introduced here can identify, from the sequence, the predominant function of the protein.

中文翻译：

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登革热病毒包膜糖蛋白变异性的生物信息学特征

背景：登革热病毒引起的感染在全球范围内严重威胁公共卫生；然而，目前还没有有效的药物或疫苗可以预防或治疗这种情况。目的：为了更好地了解这些蛋白质的理化规律，有必要对登革热病毒表达的包膜蛋白的氨基酸序列进行计算多参数研究，并获得可以利用训练蛋白子序列的生物信息学方法。小组找出蛋白质的主要功能，直至其序列。方法：本质上，在氨基酸水平上，将各种计算程序应用于表达登革热病毒包膜糖蛋白的序列，以确定每种蛋白质的 PIM 2.0 v 谱和蛋白质内在障碍易感性 (PIDP) 谱，然后，在在核苷酸水平上，应用了一套基因组分析程序。最后，将这些结果与统计测试进行对比。结果：通过 PIM 2.0 v 谱和来自不同登革热病毒包膜的蛋白质的 PIDP 中的特定规律提供的结构形态相似性的重新创建，使得提出一种使用 PIM 2.0 v 谱来识别该组的计算机方法成为可能基于其序列的蛋白质；根据我们的发现，该方法是该蛋白质组的“指纹”。结论：登革热病毒蛋白的典型 PIM 2.0 v 谱可以通过计算工具重现。这些知识将有助于更好地了解新发现的病毒。此外，这里介绍的方法可以从序列中识别蛋白质的主要功能。