Generative power of a protein language model trained on multiple sequence alignments
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DOI: 10.1101/2022.04.14.488405
Abstract: 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… read more here.
Keywords: trained multiple; sequence; protein language; protein families ... See more keywords