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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Main Authors: Ruperti, Fabian (Author) , Papadopoulos, Nikolaos (Author) , Musser, Jacob M. (Author) , Mirdita, Milot (Author) , Steinegger, Martin (Author) , Arendt, Detlev (Author)
Format: Article (Journal)
Language:English
Published: 12 May 2023
In: Genome biology
Year: 2023, Volume: 24, Pages: 1-21
ISSN:1474-760X
DOI:10.1186/s13059-023-02942-9
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s13059-023-02942-9
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Author Notes:Fabian Ruperti, Nikolaos Papadopoulos, Jacob M. Musser, Milot Mirdita, Martin Steinegger and Detlev Arendt
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Summary: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.
Item Description:Gesehen am 31.07.2023
Physical Description:Online Resource
ISSN:1474-760X
DOI:10.1186/s13059-023-02942-9