Modeling Protein Evolution via Generative Inference From Monte Carlo Chains to Population Genetics
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19 February 2026
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
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
Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins
Gandarilla-Pérez C., Pinilla S., Bitbol A., Weigt M. PLOS Computational Biology (2023)
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30 March 2023
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
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
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