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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Bibliographic Details

Published in:	eLife
Main Authors:	Damiano Sgarbossa, Umberto Lupo, Anne-Florence Bitbol
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2023-02-01
Subjects:	protein sequences protein families protein language models deep learning protein sequence generation protein design
Online Access:	https://elifesciences.org/articles/79854