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Amelia Villegas-Morcillo
Amelia Villegas-Morcillo
Dirección de correo verificada de ugr.es - Página principal
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Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
A Villegas-Morcillo, S Makrodimitris, RCHJ van Ham, AM Gomez, ...
Bioinformatics 37 (2), 162-170, 2021
462021
End-to-end prediction of protein-protein interaction based on embedding and recurrent neural networks
F Gonzalez-Lopez, JA Morales-Cordovilla, A Villegas-Morcillo, ...
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
152018
Protein Fold Recognition from Sequences using Convolutional and Recurrent Neural Networks
A Villegas-Morcillo, AM Gomez, JAM Cordovilla, VES Calle
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020
62020
FoldHSphere: deep hyperspherical embeddings for protein fold recognition
A Villegas-Morcillo, V Sanchez, AM Gomez
BMC bioinformatics 22 (1), 1-21, 2021
52021
An analysis of protein language model embeddings for fold prediction
A Villegas-Morcillo, AM Gomez, V Sanchez
Briefings in Bioinformatics 23 (3), bbac142, 2022
12022
Improved Protein Residue-Residue Contact Prediction Using Image Denoising Methods
A Villegas-Morcillo, JA Morales-Cordovilla, AM Gomez, V Sanchez
2018 26th European Signal Processing Conference (EUSIPCO), 1167-1171, 2018
12018
So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs
TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Admete, ...
bioRxiv, 2022
2022
Fusion of Classical Digital Signal Processing and Deep Learning Methods (FTCAPPS)
A Gomez, VE Sánchez, A Peinado, JM Martín-Doñas, A Gómez-Alanis, ...
IberSPEECH 2022, 2022
2022
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