生物信息学走向病毒:I. 促进病毒研究的数据库、系统发生学和系统动力学工具

Viruses Pub Date : 2024-09-06 DOI:10.3390/v16091425
Federico Vello, Francesco Filippini, Irene Righetto
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摘要

如今,对蛋白质或核酸进行计算机辅助分析似乎是理所当然的事情;然而,生物信息学和计算生物学的历史却很短。高通量测序技术的出现导致了 "大数据 "的产生,这也影响到了病毒学领域。生物信息学家和病毒学家之间的合作早在几十年前就已开始,最近的 SARS-CoV-2 大流行更是有力地促进了这种合作。本文是 "生物信息学如何促进病毒研究 "系列文章的第一篇,我们在文中指出,从选定的通用数据库和专用数据库中可以检索到非常有用的信息。事实上,参与国际核苷酸序列数据库合作(INSDC)的国际组织的通用数据库中保存了大量核苷酸/蛋白质序列及其注释方面的信息。不过,越来越多的病毒特异性数据库已经建立,并逐渐丰富了本文所报告的内容和特征。由于病毒是细胞内强制性寄生虫,因此我们特别关注宿主-病原体蛋白质-蛋白质相互作用数据库。最后,我们介绍了几种系统发生学和系统动力学工具,将有关算法和功能的信息与如何使用它们的实用信息以及验证其实用性的案例研究结合起来。功能推断数据库和工具将在本系列的下一篇文章中介绍:病毒式传播的生物信息学:II.基于序列和结构的功能分析促进病毒研究。
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Bioinformatics Goes Viral: I. Databases, Phylogenetics and Phylodynamics Tools for Boosting Virus Research
Computer-aided analysis of proteins or nucleic acids seems like a matter of course nowadays; however, the history of Bioinformatics and Computational Biology is quite recent. The advent of high-throughput sequencing has led to the production of “big data”, which has also affected the field of virology. The collaboration between the communities of bioinformaticians and virologists already started a few decades ago and it was strongly enhanced by the recent SARS-CoV-2 pandemics. In this article, which is the first in a series on how bioinformatics can enhance virus research, we show that highly useful information is retrievable from selected general and dedicated databases. Indeed, an enormous amount of information—both in terms of nucleotide/protein sequences and their annotation—is deposited in the general databases of international organisations participating in the International Nucleotide Sequence Database Collaboration (INSDC). However, more and more virus-specific databases have been established and are progressively enriched with the contents and features reported in this article. Since viruses are intracellular obligate parasites, a special focus is given to host-pathogen protein-protein interaction databases. Finally, we illustrate several phylogenetic and phylodynamic tools, combining information on algorithms and features with practical information on how to use them and case studies that validate their usefulness. Databases and tools for functional inference will be covered in the next article of this series: Bioinformatics goes viral: II. Sequence-based and structure-based functional analyses for boosting virus research.
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