A normal mode analysis of 20 proteins in `open' or `closed' forms was performed using simple potential and protein models. The quality of the results was found to depend upon the form of the protein studied, normal modes obtained with the open form of a given protein comparing better with the conformational change than those obtained with the closed form. Moreover, when the motion of the protein is a highly collective one, then, in all cases considered, there is a single low-frequency normal mode whose direction compares well with the conformational change. When it is not, in most cases there is still a single low-frequency normal mode giving a good description of the pattern of the atomic displacements, as they are observed experimentally during the conformational change. Hence a lot of information on the nature of the conformational change of a protein is often found in a single low-frequency normal mode of its open form. Since this information can be obtained through the normal mode analysis of a model as simple as that used in the present study, it is likely that the property captured by such an analysis is for the most part a property of the shape of the protein itself. One of the points that has to be clarified now is whether or not amino acid sequences have been selected in order to allow proteins to follow a single normal mode direction, as least at the very beginning of their conformational change.

Combining structural data for the ribosome from x-ray crystallography and cryo-electron microscopy with dynamic models based on elastic network normal mode analysis, an atomically detailed picture of functionally important structural rearrangements that occur during translocation is elucidated. The dynamic model provides a near-atomic description of the ratchet-like rearrangement of the 70S ribosome seen in cryo-electron microscopy, and permits the identification of bridging interactions that either facilitate the conformational switching or maintain structural integrity of the 50S/30S interface. Motions of the tRNAs residing in the A and P sites also suggest the early stages of tRNA translocation as a result of this ratchet-like movement. Displacement of the L1 stalk, alternately closing and opening the intersubunit space near the E site, is observed in the dynamic model, in line with growing experimental evidence for the role of this structural component in facilitating the exiting of tRNA. Finally, a hinge-like transition in the 30S ribosomal subunit, similar to that observed in crystal structures of this complex, is also manifest as a dynamic mode of the ribosome. The coincidence of these dynamic transitions with the individual normal modes of the ribosome and the good correspondence between these motions and those observed in experiment suggest an underlying principle of nature to exploit the shape of molecular assemblies such as the ribosome to provide robustness to functionally important motions.

Computational studies of large macromolecular assemblages have come a long way during the past 10 years. With the explosion of computer power and parallel computing, timescales of molecular dynamics simulations have been extended far beyond the hundreds of picoseconds timescale. However, limitations remain for studies of large-scale conformational changes occurring on timescales beyond nanoseconds, especially for large macromolecules. In this review, we describe recent methods based on normal mode analysis that have enabled us to study dynamics on the microsecond timescale for large macromolecules using different levels of coarse graining, from atomically detailed models to those employing only low-resolution structural information. Emerging from such studies is a control principle for robustness in Nature's machines. We discuss this idea in the context of large-scale functional reorganization of the ribosome, virus particles, and the muscle protein myosin.