title: Protein States as Symmetry Transitions in the Correlation Matrices.
abstract: Over the last few years, there has been significant progress in the knowledge on protein folding. However, some aspects of protein folding still need further attention. One of these is the exact relationship between the folded and unfolded states and the differences between them. Whereas the folded state is well known, at least from a structural point of view (just think of the thousands of structures in online databases), the unfolded state is more elusive. Also, these are dynamic states of matter, and this aspect cannot be overlooked. Molecular dynamics-derived correlation matrices are an invaluable source of information on the protein dynamics. Here, bulk eigenvalue spectra of the correlation matrices obtained from the Trp-cage dynamics in the folded and unfolded states have been analyzed. The associated modes represent localized vibrations and are significantly affected by the fine details of the structure and interactions. Therefore, these bulk modes can be used as probes of the protein local dynamics in different states. The results of these analyses show that the correlation matrices describing the folded and unfolded dynamics belong to different symmetry classes. This finding provides new support to the phase-transition models of protein folding.
authors.affiliation: Department of Basic Medical Sciences, Neurosciences and Sense Organs (SMBNOS), University of Bari "Aldo Moro" , Piazza G.Cesare - Policlinico, 70124 Bari, Italy.
authors.forename: Luigi L
authors.initials: LL
authors.lastname: Palese
mesh_terms: D056004:Molecular Dynamics Simulation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins