From Molecular Statistics to Molecular Dynamics: Modeling NMR NOESY Cross-peaks by using Diffusion Theory and Generalized-Ensemble Simulations

Generalized-ensemble algorithm and diffusion theory have been combined in order to compute the dynamical properties monitored by nuclear magnetic resonance (NMR) experiments from efficient and reliable evaluation of statistical averages. Replica-exchange Monte Carlo simulations have been performed with a C-peptide analogue of ribonuclease A, and the Smoluchowski diffusion equation has been applied. A fairly good agreement between the calculated and measured 1H-NOESY NMR cross peaks has been obtained. The combination of these advanced and continuously improving statistical tools allows the calculation of a wide variety of dynamical properties routinely obtained by experiments.