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 | 245 | 2020 |
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 | 244 | 2018 |
Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods S Cocco, S Leibler, R Monasson Proceedings of the National Academy of Sciences 106 (33), 14058-14062, 2009 | 242 | 2009 |
Force and kinetic barriers to unzipping of the DNA double helix S Cocco, R Monasson, JF Marko Proceedings of the National Academy of Sciences 98 (15), 8608-8613, 2001 | 216 | 2001 |
Overstretching and force-driven strand separation of double-helix DNA S Cocco, J Yan, JF Léger, D Chatenay, JF Marko Physical Review E 70 (1), 011910, 2004 | 213 | 2004 |
Helicoidal model for DNA opening M Barbi, S Cocco, M Peyrard Physics Letters A 253 (5-6), 358-369, 1999 | 208 | 1999 |
Statistical mechanics of torque induced denaturation of DNA S Cocco, R Monasson Physical Review Letters 83 (24), 5178, 1999 | 175 | 1999 |
Adaptive cluster expansion for inferring Boltzmann machines with noisy data S Cocco, R Monasson Physical review letters 106 (9), 090601, 2011 | 169 | 2011 |
From principal component to direct coupling analysis of coevolution in proteins: Low-eigenvalue modes are needed for structure prediction S Cocco, R Monasson, M Weigt PLoS computational biology 9 (8), e1003176, 2013 | 150 | 2013 |
Direct-Coupling Analysis of nucleotide coevolution facilitates RNA secondary and tertiary structure prediction E De Leonardis, B Lutz, S Ratz, S Cocco, R Monasson, A Schug, M Weigt Nucleic acids research 43 (21), 10444-10455, 2015 | 137 | 2015 |
Rigorous decimation-based construction of ground pure states for spin glass models on random lattices S Cocco, O Dubois, J Mandler, R Monasson arXiv preprint cond-mat/0206239, 2002 | 134 | 2002 |
Learning protein constitutive motifs from sequence data J Tubiana, S Cocco, R Monasson Elife 8, e39397, 2019 | 116 | 2019 |
A twist opening model for DNA M Barbi, S Cocco, M Peyrard, S Ruffo Journal of biological physics 24, 97-114, 1999 | 109 | 1999 |
Slow nucleic acid unzipping kinetics from sequence-defined barriers S Cocco, JF Marko, R Monasson The European Physical Journal E 10, 153-161, 2003 | 107 | 2003 |
Neoantigen quality predicts immunoediting in survivors of pancreatic cancer M Łuksza, ZM Sethna, LA Rojas, J Lihm, B Bravi, Y Elhanati, K Soares, ... Nature 606 (7913), 389-395, 2022 | 104 | 2022 |
ACE: adaptive cluster expansion for maximum entropy graphical model inference JP Barton, E De Leonardis, A Coucke, S Cocco Bioinformatics 32 (20), 3089-3097, 2016 | 104 | 2016 |
The micromechanics of DNA JF Marko, S Cocco Physics World 16 (3), 37, 2003 | 89 | 2003 |
Force and kinetic barriers to initiation of DNA unzipping S Cocco, R Monasson, JF Marko Physical Review E 65 (4), 041907, 2002 | 89 | 2002 |
Theoretical models for single-molecule DNA and RNA experiments: from elasticity to unzipping S Cocco, JF Marko, R Monasson Comptes Rendus Physique 3 (5), 569-584, 2002 | 88 | 2002 |
Theoretical study of collective modes in DNA at ambient temperature S Cocco, R Monasson The Journal of Chemical Physics 112 (22), 10017-10033, 2000 | 87 | 2000 |