Author

Angel Manuel Gomez

Universidad de GranadaORCID 0000-0002-9995-3068Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Amelia Villegas-MorcilloiD· 2 shared Marcel J. T. ReindersiD· 1 shared Roeland C. H. J. van HamiD· 1 shared Stavros MakrodimitrisiD· 1 shared Victoria Sanchez· 1 shared Victoria SáncheziD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersBioinformatics

Amelia Villegas-MorcilloORCID

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2 papers

Recent·Most cited

An Analysis of Protein Language Model Embeddings for Fold Prediction

Amelia Villegas-Morcillo, Angel Manuel Gomez, Victoria Sánchez

This paper evaluates protein language model embeddings for fold prediction using fine-tuning neural networks and finds that transformer-based embeddings with specific models improve performance.

Briefings in Bioinformatics · Mar 29, 2022Peer-reviewedBioinformatics

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