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Generative power of a protein language model trained on multiple sequence alignments

Computational models starting from large ensembles of evolutionarily related protein sequences capture a representation of protein families and learn constraints associated to protein structure and function. They thus open the possibility for generating novel sequences belonging to protein families....

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Detalles Bibliográficos
Autores principales: Sgarbossa, Damiano, Lupo, Umberto, Bitbol, Anne-Florence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038667/
https://www.ncbi.nlm.nih.gov/pubmed/36734516
http://dx.doi.org/10.7554/eLife.79854