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Scientific Reports|November 26, 2016
Improving landscape inference by integrating heterogeneous data in the inverse Ising problemPierre Barrat-Charlaix, Matteo Figliuzzi, Martin WeigtMolecular Biology and Evolution|January 20, 2018
How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?Matteo Figliuzzi, Pierre Barrat-Charlaix, Martin WeigtBiologie Aujourd'Hui|February 8, 2018
[From sequence variability to structural and functional prediction: modeling of homologous protein families]Pierre Barrat-Charlaix, Martin WeigtScience (New York, N.Y.)|July 25, 2020
An evolution-based model for designing chorismate mutase enzymesWilliam P Russ, Matteo Figliuzzi, Christian Stocker, et al.Physical Review. E|September 16, 2021
Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence familiesPierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, et al.Molecular Biology and Evolution|October 9, 2015
Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1Matteo Figliuzzi, Hervé Jacquier, Alexander Schug, et al.Reports on Progress in Physics. Physical Society (Great Britain)|November 10, 2017
Inverse statistical physics of protein sequences: a key issues reviewSimona Cocco, Christoph Feinauer, Matteo Figliuzzi, et al.Elife|December 27, 2024
Eco-evolutionary dynamics of adapting pathogens and host immunityPierre Barrat-Charlaix, Richard A NeherMolecular Biology and Evolution|March 26, 2025
Reconstruction of Ancestral Protein Sequences Using Autoregressive Generative ModelsMatteo De Leonardis, Andrea Pagnani, Pierre Barrat-CharlaixPlos Computational Biology|August 19, 2022
TreeKnit: Inferring ancestral reassortment graphs of influenza virusesPierre Barrat-Charlaix, Timothy G Vaughan, Richard A NeherPageof 8