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Cross-phyla protein annotation by structural prediction and alignment

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 a...

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Hauptverfasser: Ruperti, Fabian (VerfasserIn) , Papadopoulos, Nikolaos (VerfasserIn) , Musser, Jacob M. (VerfasserIn) , Mirdita, Milot (VerfasserIn) , Steinegger, Martin (VerfasserIn) , Arendt, Detlev (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 12 May 2023
In: Genome biology
Year: 2023, Jahrgang: 24, Pages: 1-21
ISSN:1474-760X
DOI:10.1186/s13059-023-02942-9
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s13059-023-02942-9
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Verfasserangaben:Fabian Ruperti, Nikolaos Papadopoulos, Jacob M. Musser, Milot Mirdita, Martin Steinegger and Detlev Arendt

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520 |a 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. 
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