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International audience; Poly(ornithine-co-citrulline)s are ureido-based polymers which were shown to exhibit tunable upper critical solution temperature (UCST) behavior, a property that can be exploited to develop thermoresponsive nanoparticles for controlled drug delivery systems. To gain insight into the driving forces that govern the formation and dissolution processes of poly(ornithine-co-citrulline) nanoparticles, a molecular dynamics (MD) simulation study has been carried out using MARTINI-based protein coarse-grained models. Multi-microsecond simulations at temperatures ranging from 280 to 370 K show that the fully reparametrized version 3.0 of MARTINI force field is able to capture the dependence on temperature of poly(ornithine-co-citrulline) aggregation and 1 dissolution, while version 2.2 could not account for it. Furthermore, the phase separation observed in these simulations allowed to extrapolate a phase diagram based on the Flory-Huggins theory of polymer solution which could help in future rational design of drug delivery nanoparticles based on poly(amino acid)s.

International audience; Dystrophin is a large skeletal muscle protein located at the internal face of the plasma membrane and interacting with membrane phospholipids and a number of cytosolic proteins. Binding of neuronal nitric oxide synthase (nNOS) to dystrophin appears to be crucial for exercise-induced increases in blood supply in muscle cells. By contrast, utrophin, the developmental homologous protein of dystrophin, does not display nNOS interaction. Recent in vitro and in vivo experiments showed that the dystrophin region involved in nNOS binding is located in spectrin-like repeats R16 and R17 of its filamentous central domain. Using homology modeling and atomistic molecular dynamics simulation, we compared the structural organization and surface potentials of dystrophin, utrophin, and chimeric fragments, thus revisiting the dystrophin-nNOS binding region. Our simulation results are in good agreement with experimental data. They provide a three-dimensional representation of the repeats and give insight into the molecular organization of the regions involved in dystrophin-nNOS interaction. This study also further elucidates the physical properties crucial for this interaction, particularly the presence of a large hydrophobic patch. These results will be helpful to improving our understanding of the phenotypic features of patients bearing mutations in the nNOS-binding region of dystrophin.