Litcius/Paper detail

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

Emma Persson, Erik L. L. Sonnhammer

2023Journal of Molecular Biology56 citationsDOIOpen Access PDF

Abstract

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/.

Topics & Concepts

BiologyProteomeGenomeProtein domainComputational biologyFunction (biology)ArchaeaPhylogeneticsPhylogenetic treeGeneticsGeneGenomics and Phylogenetic StudiesMachine Learning in BioinformaticsRNA and protein synthesis mechanisms
InParanoiDB 9: Ortholog Groups for Protein Domains and Full-Length Proteins | Litcius