Protein language models trained on multiple sequence alignments learn phylogenetic relationships U Lupo, D Sgarbossa, AF Bitbol Nature Communications 13 (1), 6298, 2022 | 27 | 2022 |
Generative power of a protein language model trained on multiple sequence alignments D Sgarbossa, U Lupo, AF Bitbol Elife 12, e79854, 2023 | 26 | 2023 |
Delay effects on the stability of large ecosystems E Pigani, D Sgarbossa, S Suweis, A Maritan, S Azaele Proceedings of the National Academy of Sciences 119 (45), e2211449119, 2022 | 10 | 2022 |
Pairing interacting protein sequences using masked language modeling U Lupo, D Sgarbossa, AF Bitbol Proceedings of the National Academy of Sciences 121 (27), e2311887121, 2024 | 3 | 2024 |
Pairing interacting protein sequences using masked language modeling D Sgarbossa, U Lupo, AF Bitbol ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 2024 | 2 | 2024 |
ProtMamba: a homology-aware but alignment-free protein state space model D Sgarbossa, C Malbranke, AF Bitbol bioRxiv, 2024.05. 24.595730, 2024 | | 2024 |
DiffPaSS–Differentiable and scalable pairing of biological sequences using soft scores U Lupo, D Sgarbossa, M Milighetti, AF Bitbol ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 0 | | |
Predicting interaction partners using masked language modeling U Lupo, D Sgarbossa, AF Bitbol | | |
The effect of Delayed Dynamics on the Stability of Ecosystems D Sgarbossa | | |
Generazione e caratterizzazione di gocce in una piattaforma opto-microfluidica di LiNbO3 in configurazione di co-flow D Sgarbossa | | |