BioinformaticsBioinformaticsPeer-reviewed
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
Amelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C. H. J. van Ham…·Marcel J. T. Reinders
The paper shows that unsupervised protein sequence embeddings outperform traditional features in predicting molecular function, with a simple model achieving state-of-the-art results.
123 citationstop 2%