title: All-atom molecular dynamics simulations using orientational constraints from anisotropic NMR samples.
abstract: Orientational constraints obtained from solid state NMR experiments on anisotropic samples are used here in molecular dynamics (MD) simulations for determining the structure and dynamics of several different membrane-bound molecules. The new MD technique is based on the inclusion of orientation dependent pseudo-forces in the COSMOS-NMR force field. These forces drive molecular rotations and re-orientations in the simulation, such that the motional time-averages of the tensorial NMR properties approach the experimentally measured parameters. The orientational-constraint-driven MD simulations are universally applicable to all NMR interaction tensors, such as chemical shifts, dipolar couplings and quadrupolar interactions. The strategy does not depend on the initial choice of coordinates, and is in principle suitable for any flexible molecule. To test the method on three systems of increasing complexity, we used as constraints some deuterium quadrupolar couplings from the literature on pyrene, cholesterol and an antimicrobial peptide embedded in oriented lipid bilayers. The MD simulations were able to reproduce the NMR parameters within experimental error. The alignment of the three membrane-bound molecules and some aspects of their conformation were thus derived from the NMR data, in good agreement with previous analyses. Furthermore, the new approach yielded for the first time the distribution of segmental orientations with respect to the membrane and the order parameter tensors of all three systems.
authors.affiliation: Institute of Biological Interfaces, Forschungszentrum Karlsruhe, Hermann-von-Helmholtz-Platz 1, POB 3640, 76021, Karlsruhe, Germany. Ulrich.Sternberg@ibg.fzk.de
authors.forename: Ulrich
authors.initials: U
authors.lastname: Sternberg
authors.forename: Raiker
authors.initials: R
authors.lastname: Witter
authors.forename: Anne S
authors.initials: AS
authors.lastname: Ulrich
mesh_terms: D002784:Cholesterol / Q000737:chemistry; D003198:Computer Simulation; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008958:Models, Molecular; D011721:Pyrenes / Q000737:chemistry
chemical_list: D011721:Pyrenes; D002784:Cholesterol; C030984:pyrene