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Publications

Vicedomini R, Bouly J-P, Laine E, Falciatore A, Carbone A*. Multiple probabilistic models extract features from protein sequence data and resolve functional diversity of very different protein families. Molecular Biology and Evolution. 39(4), (2022).
Rodriguez-Rivas J, Croce G, Muscat M, Weigt M. Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes. Proceedings of the National Academy of Sciences. 119, pp. e2113118119 (2022).
Dequeker C, Mohseni-Behbahani Y, David L, Laine E, Carbone A*. From complete cross-docking to partners identification and binding sites predictions. PLOS Computational Biology. 18(1), (2022).
Roux P, Salort D. Towards a further understanding of the dynamics in the excitatory NNLIF neuron model: Blow-up and global existence. Kinetic & Related Models. 14, pp.819-846 (2021).
Trinquier J, Uguzzoni G, Pagnani A, Zamponi F, Weigt M. Efficient generative modeling of protein sequences using simple autoregressive models. Nature Communications. 12(1), pp.5800 (2021).
Muntoni AP, Pagnani A, Weigt M, Zamponi F. adabmDCA: adaptive Boltzmann machine learning for biological sequences. BMC Bioinformatics. 22(1), pp.528 (2021).
Bisardi M, Rodriguez-Rivas J, Zamponi F, Weigt M. Modeling Sequence-Space Exploration and Emergence of Epistatic Signals in Protein Evolution. Molecular Biology and Evolution. (2021).
Delaveau T, Thiebaut A, Benchouaia M, Merhej J, Devaux F. Yap5 Competes With Hap4 for the Regulation of Iron Homeostasis Genes in the Human Pathogen. Front Cell Infect Microbiol. 11, pp.731988 (2021).
Martin H, Doumic M, Teixeira MTeresa, Xu Z. Telomere shortening causes distinct cell division regimes during replicative senescence in Saccharomyces cerevisiae. Cell Biosci. 11(1), pp.180 (2021).
Shirogane Y, Rousseau E, Voznica J, Xiao Y, Su W, Catching A, Whitfield ZJ, Rouzine IM, Bianco S, Andino R. Experimental and mathematical insights on the interactions between poliovirus and a defective interfering genome. bioRxiv. (2021).
Sokolovska N, Mohseni-Behbahani Y. Vanishing boosted weights: a consistent algorithm to learn interpretable rules. Pattern Recognition Letters. (2021).
Rodriguez-Horta E, Lage A, Weigt M, Barrat-Charlaix P. Global multivariate model learning from hierarchically correlated data. J. Stat. Mech. (2021).
Chen R, Droux M, Goyer A, Hirel B, Hodges M, Issakidis-Bourguet E, Jacquot J-P, De Lamotte F, Lemaire SD, Lemaire-Chamley M, Miginiac-Maslow M, Sugiyama T, Suzuki A, Vidal J Chapter Three - Scientific contributions of Pierre Gadal and his lab—A tribute to Pierre Gadal (1938–2019). in Past, Current and Future Topics. 100, Academic Press. pp. 41-127 (2021)
Le Moigne T, Gurrieri L, Crozet P, Marchand CH, Zaffagnini M, Sparla F, Lemaire SD, Henri J. Crystal structure of chloroplastic thioredoxin z defines a type-specific target recognition. The Plant Journal. 107, pp.434-447 (2021).
Barrat-Charlaix P, Muntoni AP, Shimagaki K, Weigt M, Zamponi F. Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families. Phys. Rev. E. 104, pp.024407 (2021).

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