| An evolution-based model for designing chorismate mutase enzymes WP Russ, M Figliuzzi, C Stocker, P Barrat-Charlaix, M Socolich, P Kast, ... Science 369 (6502), 440-445, 2020 | 288 | 2020 |
| How pairwise coevolutionary models capture the collective residue variability in proteins? M Figliuzzi, P Barrat-Charlaix, M Weigt Molecular Biology and Evolution 35 (4), 1018-1027, 2018 | 112 | 2018 |
| Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution J Huddleston, JR Barnes, T Rowe, X Xu, R Kondor, DE Wentworth, ... eLife 9, e60067, 2020 | 49 | 2020 |
| Limited predictability of amino acid substitutions in seasonal influenza viruses P Barrat-Charlaix, J Huddleston, T Bedford, RA Neher Molecular Biology and Evolution 38 (7), 2767-2777, 2021 | 30 | 2021 |
| Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families P Barrat-Charlaix, AP Muntoni, K Shimagaki, M Weigt, F Zamponi Physical Review E 104 (2), 024407, 2021 | 27* | 2021 |
| Toward Inferring Potts Models for Phylogenetically Correlated Sequence Data E Rodriguez Horta, P Barrat-Charlaix, M Weigt Entropy 21 (11), 1090, 2019 | 27 | 2019 |
| Improving landscape inference by integrating heterogeneous data in the inverse Ising problem P Barrat-Charlaix, M Figliuzzi, M Weigt Scientific Reports 6 (1), 37812, 2016 | 23 | 2016 |
| TreeKnit: Inferring ancestral reassortment graphs of influenza viruses P Barrat-Charlaix, TG Vaughan, RA Neher PLOS Computational Biology 18 (8), e1010394, 2022 | 10 | 2022 |
| Global multivariate model learning from hierarchically correlated data ER Horta, A Lage-Castellanos, M Weigt, P Barrat-Charlaix Journal of Statistical Mechanics: Theory and Experiment 2021 (7), 073501, 2021 | 8 | 2021 |
| Understanding and improving statistical models of protein sequences P Barrat-Charlaix Sorbonne Université, 2018 | 4 | 2018 |
| Eco-evolutionary dynamics of adapting pathogens and host immunity P Barrat-Charlaix, RA Neher arXiv preprint arXiv:2402.07252, 2024 | 3 | 2024 |
| Reconstruction of ancestral protein sequences using autoregressive generative models M De Leonardis, A Pagnani, P Barrat-Charlaix bioRxiv, 2024.09. 17.613387, 2024 | | 2024 |
| Methods for adaptive optimization of enhanced oil recovery performance under uncertainty N Chugunov, TS Ramakrishnan, P Barrat-Charlaix US Patent 11,598,185, 2023 | | 2023 |
| Comprendre et améliorer les modèles statistiques de séquences de protéines P Barrat-Charlaix Sorbonne université, 2018 | | 2018 |
| De la variabilité des séquences à la prédiction structurale et fonctionnelle: modélisation de familles de protéines homologues P Barrat-Charlaix, M Weigt Biologie Aujourd'hui 211 (3), 239-244, 2017 | | 2017 |
| Author response: Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolution J Huddleston, JR Barnes, T Rowe, X Xu, R Kondor, DE Wentworth, ... | | |
