A generic deep convolutional neural network framework for prediction of receptor-ligand interactions - NetPhosPan: application to kinase phosphorylation prediction. - Emilio Fenoy; José M. G. Izarzugaza; Vanessa Isabell Jurtz; Søren Brunak; Morten Nielsen 001 (Bioinform., 2019)

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. - Leandro A Bugnon; Alejandro A. Edera; Santiago Prochetto; Matias Gerard; Jonathan Raad; Emilio Fenoy; Mariano Rubiolo; Uciel Chorostecki; Toni Gabaldón; Federico Ariel; Leandro E. Di Persia; Diego H. Milone; et al. (Briefings Bioinform., 2022)

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks. - Emilio Fenoy; Alejandro A. Edera; Georgina Stegmayer (Briefings Bioinform., 2022)

Transfer learning: The key to functionally annotate the protein universe. - Leandro A Bugnon; Emilio Fenoy; Alejandro A. Edera; Jonathan Raad; Georgina Stegmayer; Diego H. Milone (Patterns, 2023)

sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. - Leandro A Bugnon; Leandro E. Di Persia; Matias Gerard; Jonathan Raad; Santiago Prochetto; Emilio Fenoy; Uciel Chorostecki; Federico Ariel; Georgina Stegmayer; Diego H. Milone (Briefings Bioinform., 2024)

Evaluating large language models for annotating proteins. - Rosario Vitale; Leandro A Bugnon; Emilio Fenoy; Diego H. Milone; Georgina Stegmayer (Briefings Bioinform., 2024)