| 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 | 89 | 2021 |
| 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 | 26 | 2018 |
| An analysis of protein language model embeddings for fold prediction A Villegas-Morcillo, AM Gomez, V Sanchez Briefings in Bioinformatics 23 (3), bbac142, 2022 | 19 | 2022 |
| Protein fold recognition from sequences using convolutional and recurrent neural networks A Villegas-Morcillo, AM Gomez, JA Morales-Cordovilla, V Sanchez IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2020 | 12 | 2020 |
| FoldHSphere: deep hyperspherical embeddings for protein fold recognition A Villegas-Morcillo, V Sanchez, AM Gomez BMC bioinformatics 22, 1-21, 2021 | 10 | 2021 |
| So manyfolds, so little time: efficient protein structure prediction with pLMs and MSAs TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Adméte, ... bioRxiv, 2022.10. 15.511553, 2022 | 4 | 2022 |
| ManyFold: an efficient and flexible library for training and validating protein folding models A Villegas-Morcillo, L Robinson, A Flajolet, TD Barrett Bioinformatics 39 (1), btac773, 2023 | 2 | 2023 |
| Fusion of Classical Digital Signal Processing and Deep Learning methods (FTCAPPS) ÁM Gómez García, VE Sánchez Calle, AM Peinado Herreros, ... ISCA-Iberspeech 2022, 2022 | 1 | 2022 |
| 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 | 1 | 2018 |
| Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models C Raman, A Nonnemaker, A Villegas-Morcillo, H Hung, M Loog Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Guiding diffusion models for antibody sequence and structure co-design with developability properties A Villegas-Morcillo, J Weber, M Reinders NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | | 2023 |
| Automatic identification of the protein fold type using representations from the amino acid sequence and deep learning techniques AO Villegas Morcillo Universidad de Granada, 2023 | | 2023 |
Victoria SanchezFull Professor. Universidad de GranadaDirección de correo verificada de ugr.es
