Improvements in viral gene annotation using large language models and soft alignments

Improvements in viral gene annotation using large language models and soft alignments

Abstract Background The annotation of protein sequences in public databases has long posed a challenge in molecular biology. This issue is particularly acute for viral proteins, which demonstrate limited homology to known proteins when using alignment, k-mer, or profile-based homology search approac...

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Détails bibliographiques
Auteurs principaux: William L. Harrigan, Barbra D. Ferrell, K. Eric Wommack, Shawn W. Polson, Zachary D. Schreiber, Mahdi Belcaid
Format: Article
Langue:English
Publié: BMC 2024-04-01
Collection:BMC Bioinformatics
Sujets:
Large language models
Protein homology
Viruses
Alignments
Accès en ligne:https://doi.org/10.1186/s12859-024-05779-6

Internet

https://doi.org/10.1186/s12859-024-05779-6

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