Emilio Fenoy

According to our database, Emilio Fenoy authored at least 7 papers between 2019 and 2026.

Collaborative distances:

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

2026

ET-Pfam: ensemble transfer learning for protein family prediction.

Sofia A. Duarte, Rosario Vitale, Sofia Escudero, Emilio Fenoy, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer

Bioinform., 2026

2024

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., July, 2024

Evaluating large language models for annotating proteins.

Rosario Vitale, Leandro A. Bugnon, Emilio Fenoy, Diego H. Milone, Georgina Stegmayer

Briefings Bioinform., May, 2024

2023

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, February, 2023

2022

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks.

Emilio Fenoy, Alejandro A. Edera, Georgina Stegmayer

Briefings Bioinform., 2022

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, Georgina Stegmayer

Briefings Bioinform., 2022

2019

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

Bioinform., 2019