Publications / Statistical Genomics and Biological Physics

Towards parsimonious generative modeling of RNA families

Calvanese F., Lambert C., Nghe P., Zamponi F., Weigt M. Nucleic Acids Research (2024)

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10 June 2024

Publications / Statistical Genomics and Biological Physics

Generating interacting protein sequences using domain-to-domain translation

Meynard-Piganeau B., Fabbri C., Weigt M., Pagnani A., Feinauer C. Bioinformatics (2023)

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1 July 2023

Publications / Statistical Genomics and Biological Physics

Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems

Ciarella S., Trinquier J., Weigt M., Zamponi F. Machine Learning: Science and Technology (2023)

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1 March 2023

Publications / Statistical Genomics and Biological Physics

TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes

Meynard-Piganeau B., Feinauer C., Weigt M., Walczak A., Mora T. Preprint (2023)

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1 January 2023

Publications / Statistical Genomics and Biological Physics

Structure and Function of a Dehydrating Condensation Domain in Nonribosomal Peptide Biosynthesis

Patteson J., Fortinez C., Putz A., Rodriguez-Rivas J., Bryant L., Adhikari K., Weigt M., Schmeing T., Li B. Journal of the American Chemical Society (2022)

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10 August 2022

Publications / Statistical Genomics and Biological Physics

Modeling Sequence-Space Exploration and Emergence of Epistatic Signals in Protein Evolution

Bisardi M., Rodriguez-Rivas J., Zamponi F., Weigt M. Molecular Biology and Evolution (2022)

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7 January 2022

Publications / Statistical Genomics and Biological Physics

adabmDCA: adaptive Boltzmann machine learning for biological sequences

Muntoni A., Pagnani A., Weigt M., Zamponi F. BMC Bioinformatics (2021)

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1 December 2021