Understanding how a single native protein diffuses on its freeenergy landscape is essential to understand protein kinetics and function. The dynamics of a protein is complex, with multiple relaxation times reflecting a hierarchical free-energy landscape. Using all-atom molecular dynamics simulations of an ␣/ protein (crambin) and a -sheet polypeptide (BS2) in their ''native'' states, we demonstrate that the mean-square displacement of dihedral angles, defined by 4 successive C ␣ atoms, increases as a power law of time, t ␣ , with an exponent ␣ between 0.08 and 0.39 (␣ ؍ 1 corresponds to Brownian diffusion), at 300 K. Residues with low exponents are located mainly in well-defined secondary elements and adopt 1 conformational substate. Residues with high exponents are found in loops/turns and chain ends and exist in multiple conformational substates, i.e., they move on multiple-minima free-energy profiles.protein has a multiple-minima free-energy landscape with typical activation barriers varying by at least 1 order of magnitude (1-3). Biological function is coupled to the fluctuations between these different local minima; in enzymes, conformational fluctuations imply a wide distribution of rate constants for catalytic reactions (4-7). Understanding how a single native protein explores its free-energy landscape in the course of time is thus required for a complete microscopic description of its function.In recent years, several techniques have been developed to study the temporal variations of structural fluctuations of a single molecule: In single-molecule fluorescence studies, the dynamics of an entire protein is revealed by recording the fluctuations of local fluorescent probes (8). In such an experiment, 1 or 2 degree(s) of freedom influencing the response of local probes directly are recorded and analyzed. For instance, the temporal fluctuations of the distance between the side chains of 2 residues and/or their orientation can be measured because the fluorescence of local probes located at these positions strongly depends on these degrees of freedom (4,8). A statistical analysis of these fluctuations provides a complete distribution of the conformational states visited and the distribution of kinetic constants of a protein (8).However, a protein itself is a heterogeneous molecule (9, 10); one may therefore expect that the dynamics recorded at 1 point along the sequence by measuring the motions of a local probe would not be similar to the dynamics recorded elsewhere. What are the relations between the local dynamics of each residue and the secondary and tertiary structures? By what kind of diffusive mechanism does a protein explore its main-chain conformational space? In the present work, we address these questions by using molecular dynamics (MD) simulations in explicit water using GROMACS software (11) at 1 bar and 300 K for 2 significantly different molecules (see Materials and Methods); 46-residue ␣/ protein crambin (PDB ID code 1CCM) (12) and 20-residue all- polypeptide (BS2) (13). Crambin is hydrop...