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

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

Inverse Statistical Physics of Protein Sequences: A Key Issues Review

Cocco S., Feinauer C., Figliuzzi M., Monasson R., Weigt M. Reports on Progress in Physics (2018)

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1 March 2018

Publications / Statistical Genomics and Biological Physics

Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria

Couce A., Caudwell L., Feinauer C., Hindré T., Feugeas J., Weigt M., Lenski R., Schneider D., Tenaillon O. Proceedings of the National Academy of Sciences (2017)

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24 October 2017

Publications / Statistical Genomics and Biological Physics

Inter-Protein Sequence Co-Evolution Predicts Known Physical Interactions in Bacterial Ribosomes and the Trp Operon

Feinauer C., Szurmant H., Weigt M., Pagnani A. PLOS ONE (2016)

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16 February 2016

Publications / Statistical Genomics and Biological Physics

Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners

Baldassi C., Zamparo M., Feinauer C., Procaccini A., Zecchina R., Weigt M., Pagnani A. PLoS ONE (2014)

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24 March 2014