Matteo Figliuzzi

Russ WP, Figliuzzi M, Stocker C, Barrat-Charlaix P, Socolich M, Kast P, Hilvert D, Monasson R, Cocco S, Weigt M, Ranganathan R. An evolution-based model for designing chorismate mutase enzymes. Science. 369, pp.440–445 (2020).

Croce G, Gueudré T, Cuevas MVirginia R, Keidel V, Figliuzzi M, Szurmant H, Weigt M. A multi-scale coevolutionary approach to predict interactions between protein domains. PLOS Computational BiologyPLOS Computational Biology. 15(10), pp.e1006891 - (2019).

Figliuzzi M, Barrat-Charlaix P, Weigt M. How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?. Molecular Biology and Evolution. pp.msy007 (2018).

Cocco S, Feinauer C, Figliuzzi M, Monasson R, Weigt M. Inverse Statistical Physics of Protein Sequences: A Key Issues Review. Rep. Prog. Phys. (2017).

Barrat-Charlaix P, Figliuzzi M, Weigt M. Improving landscape inference by integrating heterogeneous data in the inverse Ising problem. Sci. Rep. 6, 37812, (2016).

Figliuzzi M, Jacquier H, Schug A, Tenaillon O, Weigt M. Coevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1. Mol Biol Evol. 33(1), pp.268-280 (2015).

Figliuzzi M, De Martino A, Marinari E. RNA-Based Regulation: Dynamics and Response to Perturbations of Competing RNAs. Biophysical Journal. 107(4), pp.1011-1022 (2015).