Cross-phyla protein annotation by structural prediction and alignment

• Verfasst von: Ruperti, Fabian [VerfasserIn]
• Verfasst von: Papadopoulos, Nikolaos [VerfasserIn]
• Verfasst von: Musser, Jacob M. [VerfasserIn]
• Verfasst von: Mirdita, Milot [VerfasserIn]
• Verfasst von: Steinegger, Martin [VerfasserIn]
• Verfasst von: Arendt, Detlev [VerfasserIn]
• Titel: Cross-phyla protein annotation by structural prediction and alignment
• Verf.angabe: Fabian Ruperti, Nikolaos Papadopoulos, Jacob M. Musser, Milot Mirdita, Martin Steinegger and Detlev Arendt
• E-Jahr: 2023
• Jahr: 12 May 2023
• Umfang: 21 S.
• Fussnoten: Gesehen am 31.07.2023
• Titel Quelle: Enthalten in: Genome biology
• Ort Quelle: London : BioMed Central, 2000
• Jahr Quelle: 2023
• Band/Heft Quelle: 24(2023), Artikel-ID 113, Seite 1-21
• ISSN Quelle: 1474-760X
• DOI: doi:10.1186/s13059-023-02942-9
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Conservation
• Sach-SW: Functional annotation
• Sach-SW: Morpholog
• Sach-SW: Protein homology
• Sach-SW: Proteins
• Sach-SW: scRNA-seq
• Sach-SW: Spongilla
• Sach-SW: Structural similarity
• Sach-SW: Structure
• K10plus-PPN: 1853931020

Abstract

Protein annotation is a major goal in molecular biology, yet experimentally determined knowledge is typically limited to a few model organisms. In non-model species, the sequence-based prediction of gene orthology can be used to infer protein identity; however, this approach loses predictive power at longer evolutionary distances. Here we propose a workflow for protein annotation using structural similarity, exploiting the fact that similar protein structures often reflect homology and are more conserved than protein sequences.