| 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 | 152 | 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 | 77 | 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 | 23 | 2020 |
| Toward Inferring Potts Models for Phylogenetically Correlated Sequence Data E Rodriguez Horta, P Barrat-Charlaix, M Weigt Entropy 21 (11), 1090, 2019 | 20 | 2019 |
| 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 | 15* | 2021 |
| Improving landscape inference by integrating heterogeneous data in the inverse Ising problem P Barrat-Charlaix, M Figliuzzi, M Weigt Scientific reports 6 (1), 1-9, 2016 | 13 | 2016 |
| 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 | 9 | 2021 |
| 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 | 3 | 2021 |
| Methods for adaptive optimization of enhanced oil recovery performance under uncertainty N Chugunov, TS Ramakrishnan, P Barrat-Charlaix US Patent App. 14/949,032, 2016 | 3 | 2016 |
| Understanding and improving statistical models of protein sequences P Barrat-Charlaix Sorbonne Université, 2018 | 2 | 2018 |
| TreeKnit: Inferring ancestral reassortment graphs of influenza viruses P Barrat-Charlaix, TG Vaughan, RA Neher PLOS Computational Biology 18 (8), e1010394, 2022 | 1 | 2022 |
| 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 |
