Amelia Villegas-Morcillo

According to our database, Amelia Villegas-Morcillo authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ManyFold: an efficient and flexible library for training and validating protein folding models.

Amelia Villegas-Morcillo, Louis Robinson, Arthur Flajolet, Thomas D. Barrett

Bioinform., January, 2023

Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models.

Chirag Raman, Alec Nonnemaker, Amelia Villegas-Morcillo, Hayley Hung, Marco Loog

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

An analysis of protein language model embeddings for fold prediction.

Amelia Villegas-Morcillo, Angel M. Gomez, Victoria E. Sánchez

Briefings Bioinform., 2022

Fusion of Classical Digital Signal Processing and Deep Learning methods (FTCAPPS).

Ángel M. Gómez, Victoria E. Sánchez, Antonio M. Peinado, Juan M. Martín-Doñas, Alejandro Gómez Alanís, Amelia Villegas-Morcillo, Eros Rosello, Manuel Chica, Celia García, Iván López-Espejo

Proceedings of the 6th International Conference, 2022

2021

Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks.

Amelia Villegas-Morcillo, Angel M. Gomez, Juan Andres Morales-Cordovilla, Victoria E. Sánchez

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

FoldHSphere: deep hyperspherical embeddings for protein fold recognition.

Amelia Villegas-Morcillo, Victoria E. Sánchez, Angel M. Gomez

BMC Bioinform., 2021

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 M. Gomez, Victoria E. Sánchez, Marcel J. T. Reinders

Bioinform., 2021

2018

Improved Protein Residue-Residue Contact Prediction Using Image Denoising Methods.

Amelia Villegas-Morcillo, Juan Andres Morales-Cordovilla, Angel M. Gomez, Victoria E. Sánchez

Proceedings of the 26th European Signal Processing Conference, 2018

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

Francisco Gonzalez-Lopez, Juan Andres Morales-Cordovilla, Amelia Villegas-Morcillo, Angel M. Gomez, Victoria E. Sánchez

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018