The effect of polymer length in liquid-liquid phase separation
G. Valdes-Garcia, K. Gamage, C. Smith, K. Martirosova, M. Feig, L. J. Lapidus
Cell Reports Physical Science (2023), 4, 101415
Direct generation of protein conformational ensembles via machine learning
G. Janson, G. Valdes-Garcia, L. Heo, M. Feig
Nat. Comm. (2023) 14, 774
Varying molecular interactions explain aspects of crowder-dependent enzyme function of a viral protease
N. Ostrowska, M. Feig, J. Trylska
PLoS Comput. Biol. (2023), 19, e1011054
Characterization of RNA polymerase II trigger loop mutations using molecular dynamics simulations and machine learning
B. Dutagaci, B. Duan, C. Qiu, C. D. Kaplan, M. Feig
PLoS Comput. Biol. (2023), 19, e1010999
Modeling Concentration-dependent Phase Separation Processes Involving Peptides and RNA via Residue-Based Coarse-Graining
G. Valdes-Garcia, L. Heo, L. J. Lapidus, M. Feig
J. Chem. Theory Comput. (2023), 19, 669-678
Molecular Dynamics Simulations of Rhodamine B Zwitterion Diffusion in Polyelectrolyte Solutions
P. K. Walhout, Z. He, B. Dutagaci, G. Nawrocki, M. Feig
J. Phys. Chem. B (2022), 126, 10256-10272
Multi-state modeling of G-protein coupled receptors at experimental accuracy
L. Heo, M. Feig
Proteins (2022), 90, 1873-1885
Characterizing Transient Protein-Protein Interactions by Trp-Cys Quenching and Computer Simulation
L. Heo, K. Gamage, G. Valdes-Garcia, L. J. Lapidus, M. Feig
J. Phys. Chem. Lett. (2022), 13, 10175-10182