Pan-specific prediction of peptide–MHC class I complex stability, a correlate of T cell immunogenicity M Rasmussen, E Fenoy, M Harndahl, AB Kristensen, IK Nielsen, ... The Journal of Immunology 197 (4), 1517-1524, 2016 | 188 | 2016 |
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches LA Bugnon, AA Edera, S Prochetto, M Gerard, J Raad, E Fenoy, ... Briefings in Bioinformatics 23 (4), bbac205, 2022 | 16 | 2022 |
A generic deep convolutional neural network framework for prediction of receptor–ligand interactions—NetPhosPan: application to kinase phosphorylation prediction E Fenoy, JMG Izarzugaza, V Jurtz, S Brunak, M Nielsen Bioinformatics 35 (7), 1098-1107, 2019 | 15 | 2019 |
Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks E Fenoy, AA Edera, G Stegmayer Briefings in Bioinformatics 23 (4), bbac232, 2022 | 13 | 2022 |
CD4 T cell responses to Theileria parva in immune cattle recognize a diverse set of parasite antigens presented on the surface of infected lymphoblasts WI Morrison, A Aguado, TA Sheldrake, NC Palmateer, OO Ifeonu, ... The Journal of Immunology 207 (8), 1965-1977, 2021 | 5 | 2021 |
2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB) organized by the ISCB-SC RSG-Argentina F Cravero, LU Landaburu, NN Moreyra, E Fenoy, CLP Franzotti, ... PeerJ Preprints, 2018 | 4 | 2018 |
Transfer learning: The key to functionally annotate the protein universe LA Bugnon, E Fenoy, AA Edera, J Raad, G Stegmayer, DH Milone Patterns 4 (2), 2023 | 2 | 2023 |
Evaluating large language models for annotating proteins R Vitale, LA Bugnon, EL Fenoy, DH Milone, G Stegmayer Briefings in Bioinformatics 25 (3), bbae177, 2024 | | 2024 |
sincFold: end-to-end learning of short-and long-range interactions for RNA folding LA Bugnon, L Di Persia, M Gerard, J Raad, S Prochetto, E Fenoy, ... bioRxiv, 2023.10. 10.561771, 2023 | | 2023 |