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...

Descripció completa

Dades bibliogràfiques
Autors principals: William L. Harrigan, Barbra D. Ferrell, K. Eric Wommack, Shawn W. Polson, Zachary D. Schreiber, Mahdi Belcaid
Format: Article
Idioma:English
Publicat: BMC 2024-04-01
Col·lecció:BMC Bioinformatics
Matèries:
Large language models
Protein homology
Viruses
Alignments
Accés en línia:https://doi.org/10.1186/s12859-024-05779-6

Internet

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

Ítems similars