| Coevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1 M Figliuzzi, H Jacquier, S Alexander, O Tenaillon, M Weigt Molecular Biology and Evolution, 2015 | 161 | 2015 |
| MicroRNAs as a selective channel of communication between competing RNAs: a steady-state theory M Figliuzzi, E Marinari, A De Martino Biophysical journal 104 (5), 1203-1213, 2013 | 116 | 2013 |
| Inverse statistical physics of protein sequences: a key issues review S Cocco, C Feinauer, M Figliuzzi, R Monasson, M Weigt Reports on Progress in Physics 81 (3), 032601, 2018 | 102 | 2018 |
| A scalable algorithm to explore the Gibbs energy landscape of genome-scale metabolic networks D De Martino, M Figliuzzi, A De Martino, E Marinari PLoS Comput Biol 8 (6), e1002562, 2012 | 38 | 2012 |
| 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 | 36 | 2018 |
| RNA-based regulation: dynamics and response to perturbations of competing RNAs M Figliuzzi, A De Martino, E Marinari Biophysical journal 107 (4), 1011-1022, 2014 | 27 | 2014 |
| Probing the limits to microRNA-mediated control of gene expression A Martirosyan, M Figliuzzi, E Marinari, A De Martino PLoS computational biology 12 (1), e1004715, 2016 | 26 | 2016 |
| 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 | 21 | 2020 |
| 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 | 11 | 2016 |
| A multi-scale coevolutionary approach to predict interactions between protein domains G Croce, T Gueudré, MVR Cuevas, V Keidel, M Figliuzzi, H Szurmant, ... PLoS computational biology 15 (10), e1006891, 2019 | 3 | 2019 |
| Evolution-based design of chorismate mutase enzymes WP Russ, M Figliuzzi, C Stocker, P Barrat-Charlaix, M Socolich, P Kast, ... bioRxiv, 2020 | 2 | 2020 |
| Computing fluxes and chemical potential distributions in biochemical networks: energy balance analysis of the human red blood cell D De Martino, M Figliuzzi, A De Martino, E Marinari arXiv preprint arXiv:1107.2330, 2011 | 2 | 2011 |
| A multi-scale coevolutionary approach to predict protein-protein interactions G Croce, T Gueudré, MV Ruiz-Cuevas, M Figliuzzi, H Szurmant, M Weigt preparation, 2017 | 1 | 2017 |
| One way to grow, many ways to shrink: the reversible von Neumann expanding model A De Martino, M Figliuzzi, M Marsili Journal of Statistical Mechanics: Theory and Experiment 2010 (07), P07032, 2010 | 1 | 2010 |
| Identification of protein functional regions F Nerattini, M Figliuzzi, C Cardelli, L Tubiana, V Bianco, C Dellago, ... ChemPhysChem 21 (4), 335-347, 2020 | | 2020 |
Piotr Walczak, MD/PhDUniversity of Maryland BaltimoreVerified email at som.umaryland.edu
