Background: In the vast variety of viruses known, there is a particular interest in those transmitted to humans and whose ability to disseminate represents a significant public health issue. Objective: The present study’s objective is to bioinformatically characterize the proteins of the two main divisions of viruses, RNA-viruses and DNA-viruses. Methods:In this work, a set of in-house computational programs was used to calculate the polarity/charge profiles and intrinsic disorder predisposition profiles of the proteins of several groups of viruses representing both types extracted from UniProt database. The efficiency of these computational programs was statistically verified. Results:It was found that the polarity/charge profile of the proteins is, in most cases, an efficient discriminant that allows the re-creation of the taxonomy known for both viral groups. Additionally, the entire set of "reviewed" proteins in UniProt database was analyzed to find proteins with the polarity/charge profiles similar to those obtained for each viral group. This search revealed a substantial number of proteins with such polarity-charge profiles. Conclusion:Polarity/charge profile represents a physicochemical metric, which is easy to calculate, and which can be used to effectively identify viral groups from their protein sequences.

中文翻译：

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从推定的人类 DNA 和 RNA 病毒中鉴定蛋白质

背景：在已知的种类繁多的病毒中，人们对那些传播给人类的病毒特别感兴趣，它们的传播能力代表了一个重大的公共卫生问题。目的：本研究的目的是生物信息学表征病毒两个主要​​部分的蛋白质，即 RNA 病毒和 DNA 病毒。方法：在这项工作中，使用一组内部计算程序来计算从 UniProt 数据库中提取的代表这两种类型的几组病毒的蛋白质的极性/电荷谱和内在紊乱倾向谱。这些计算程序的效率得到了统计验证。结果：发现在大多数情况下，蛋白质的极性/电荷分布是 一个有效的判别式，允许重新创建两个病毒组已知的分类法。此外，对 UniProt 数据库中的整套“已审查”蛋白质进行了分析，以找到极性/电荷分布与每个病毒组获得的相似的蛋白质。这项搜索揭示了大量具有这种极性电荷分布的蛋白质。结论：极性/电荷分布是一种易于计算的物理化学指标，可用于从蛋白质序列中有效识别病毒群。这项搜索揭示了大量具有这种极性电荷分布的蛋白质。结论：极性/电荷分布是一种易于计算的物理化学指标，可用于从蛋白质序列中有效识别病毒群。这项搜索揭示了大量具有这种极性电荷分布的蛋白质。结论：极性/电荷分布是一种易于计算的物理化学指标，可用于从蛋白质序列中有效识别病毒群。