Amelia Villegas-Morcillo

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 et al. · Bioinformatics · 2020 · 124 citations · Full text

An analysis of protein language model embeddings for fold prediction

Amelia Villegas-Morcillo, Ángel M. Gómez, Victoria Sánchez · Briefings in Bioinformatics · 2022 · 47 citations · Full text

Structured Prediction, Engineering, Structural Bioinformatics +21

End-to-end prediction of protein-protein interaction based on embedding and recurrent neural networks

Francisco Gonzalez‐Lopez, Juan A. Morales-Cordovilla, Amelia Villegas-Morcillo et al. · 2018 · 26 citations

Engineering, Machine Learning, Molecular Biology +22

Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks

Amelia Villegas-Morcillo, Ángel M. Gómez, Juan A. Morales-Cordovilla et al. · IEEE/ACM Transactions on Computational Biology and Bioinformatics · 2020 · 15 citations · Full text

Convolutional Neural Network, Engineering, Structural Bioinformatics +18

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 et al. · 2020 · 13 citations