Sgarbossa, Damiano

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

Lupo, U., Sgarbossa, D., & Bitbol, A.-F. (2022) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 67

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

Lupo, U., Sgarbossa, D., & Bitbol, A.-F. (2022) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 67

Generative power of a protein language model trained on multiple sequence alignments

Sgarbossa, D., Lupo, U., & Bitbol, A.-F. (2022) · eLife

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 43

Pairing interacting protein sequences using masked language modeling

Lupo, U., Sgarbossa, D., & Bitbol, A.-F. (2024) · Proceedings of the National Academy of Sciences

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 31

Pairing interacting protein sequences using masked language modeling

Lupo, U., Sgarbossa, D., & Bitbol, A.-F. (2023) · Proceedings of the National Academy of Sciences

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 31

ProtMamba: a homology-aware but alignment-free protein state space model

Sgarbossa, D., Malbranke, C., & Bitbol, A.-F. (2025) · Bioinformatics

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 27

RAG-ESM: Improving Pretrained Protein Language Models via Sequence Retrieval

Sgarbossa, D., & Bitbol, A.-F. (2025) · PRX Life

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 3

RAG-ESM: Improving pretrained protein language models via sequence retrieval

Sgarbossa, D., & Bitbol, A.-F. (2025) · PRX Life

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 3