Author

Victoria Sanchez

Universidad de Granada

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Amelia Villegas-MorcilloiD· 1 shared Angel Manuel GomeziD· 1 shared Marcel J. T. ReindersiD· 1 shared Roeland C. H. J. van HamiD· 1 shared Stavros MakrodimitrisiD· 1 shared

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2020-2020 · peak 1/yr

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1 shared paperBioinformatics

Amelia Villegas-MorcilloORCID

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1 paper

Recent·Most cited

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, Angel Manuel Gomez, Victoria Sanchez, 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.

Bioinformatics · Aug 12, 2020Peer-reviewedBioinformatics