Correlation times of molecular motions are fundamentally related to magnetic relaxation. We use molecular dynamics simulations to compute the reorientational correlation times of water molecules associated with a model collagen molecule. Our aim is to provide a reference independent of measurements of correlation times of water in articular cartilage. The results suggest that although the reorientation slows down close to the protein surface, the diffusion between the different water pools appears to render the average correlation times short as compared to a water molecule trapped close to the macromolecule.
Molecular dynamics simulation uses iterative methods to integrate the equations of motion for a set of atoms connected with a force field. The simulation results in an approximate trajectory for each atom in the system. The time-correlation function (TCF) of the reorientation of water molecules is computed from the trajectory as
$$C_{2}(t)=\langle P_{2}[\hat{\boldsymbol{u}}(t + t_0) \cdot \hat{\boldsymbol{u}}(t_0)] \rangle, \qquad (1)$$
where $$$\hat{\boldsymbol{u}}$$$ is the unit vector of orientation connecting the hydrogen atoms. $$$P_2(x)$$$ is the second order Legendre polynomial. The correlation time $$$\tau_c$$$ of water reorientation is the integral over the TCF:
$$\tau_c = \int_0^\infty C_2(t) dt. \qquad (2)$$
Type II collagen is a significant constituent of articular cartilage and
other cartilaginous tissues.3 Here, reorientation of water molecules was studied using atomistic molecular dynamics simulations of bulk water and a fully solvated collagen-like peptide 1QSU.4 The triple-helical structure of the peptide is shown in Figure 1. Water was simulated using the TIP4P/2005 model, which is known to reproduce the reorientational correlation time of bulk water well.5,6 The simulations of both systems were run with NAMD7 software at constant temperature, T=300 K, and pressure, P=1 atm for at least 18 ns.
Jane and Aatos Erkko Foundation as well as the Academy of Finland (grants #285909 and #293970) are gratefully acknowledged for financial support. CSC - IT Center for Science provided the computational resources.
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