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InParanoiDB 9: Ortholog Groups for Protein Domains and Full-Length Proteins

机译:InParanoiDB 9:蛋白质结构域和全长蛋白质的直系同源物组

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? 2023 The Author(s)Prediction of orthologs is an important bioinformatics pursuit that is frequently used for inferring protein function and evolutionary analyses. The InParanoid database is a well known resource of ortholog predictions between a wide variety of organisms. Although orthologs have historically been inferred at the level of full-length protein sequences, many proteins consist of several independent protein domains that may be orthologous to domains in other proteins in a way that differs from the full-length protein case. To be able to capture all types of orthologous relations, conventional full-length protein orthologs can be complemented with orthologs inferred at the domain level. We here present InParanoiDB 9, covering 640 species and providing orthologs for both protein domains and full-length proteins. InParanoiDB 9 was built using the faster InParanoid-DIAMOND algorithm for orthology analysis, as well as Domainoid and Pfam to infer orthologous domains. InParanoiDB 9 is based on proteomes from 447 eukaryotes, 158 bacteria and 35 archaea, and includes over one billion predicted ortholog groups. A new website has been built for the database, providing multiple search options as well as visualization of groups of orthologs and orthologous domains. This release constitutes a major upgrade of the InParanoid database in terms of the number of species as well as the new capability to operate on the domain level. InParanoiDB 9 is available at https://inparanoidb.sbc.su.se/.
机译:?2023 作者直系同源物的预测是一项重要的生物信息学研究,经常用于推断蛋白质功能和进化分析。InParanoid 数据库是各种生物体之间直系同源物预测的著名资源。尽管直系同源物历来是在全长蛋白质序列的水平上推断的,但许多蛋白质由几个独立的蛋白质结构域组成,这些结构域可能与其他蛋白质中的结构域同源,其方式与全长蛋白质的情况不同。为了能够捕获所有类型的直系同源关系,传统的全长蛋白质直系同源物可以与在结构域水平推断的直系同源物相辅相成。我们在这里介绍InParanoiDB 9,涵盖640个物种,并为蛋白质结构域和全长蛋白质提供直系同源物。InParanoiDB 9 使用更快的 InParanoid-DIAMOND 算法进行正字分析,并使用 Domainoid 和 Pfam 来推断直系同源域。InParanoiDB 9 基于来自 447 种真核生物、158 种细菌和 35 种古细菌的蛋白质组,包括超过 10 亿个预测的直系同源物组。为数据库建立了一个新网站,提供多种搜索选项以及直系同源物组和直系同源域组的可视化。此版本是 InParanoid 数据库在物种数量以及在领域级别运行的新功能方面的重大升级。InParanoiDB 9 可在 https://inparanoidb.sbc.su.se/ 上使用。

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