Spectroscopic studies have identified a number of proteins that appear to retain significant residual structure under even strongly denaturing conditions. Intrinsic viscosity, hydrodynamic radii, and small-angle x-ray scattering studies, in contrast, indicate that the dimensions of most chemically denatured proteins scale with polypeptide length by means of the power-law relationship expected for random-coil behavior. Here we further explore this discrepancy by expanding the length range of characterized denatured-state radii of gyration (RG) and by reexamining proteins that reportedly do not fit the expected dimensional scaling. We find that only 2 of 28 crosslink-free, prosthetic-group-free, chemically denatured polypeptides deviate significantly from a power-law relationship with polymer length. The RG of the remaining 26 polypeptides, which range from 16 to 549 residues, are well fitted (r2 = 0.988) by a power-law relationship with a best-fit exponent, 0.598 ± 0.028, coinciding closely with the 0.588 predicted for an excluded volume random coil. Therefore, it appears that the mean dimensions of the large majority of chemically denatured proteins are effectively indistinguishable from the mean dimensions of a random-coil ensemble
First raised some 60 years ago, the question of whether chemically denatured proteins are fully unfolded has, in recent years, seen significantly renewed interest. This increased attention has been spurred, in large part, by new spectroscopic and computational approaches that suggest even the most highly denatured polypeptides contain significant residual structure. In contrast, the most recent scattering results uphold the long-standing view that chemically denatured proteins adopt random coil configurations. Here we review the evidence both for and against residual structure in chemically denatured proteins, and attempt to reconcile these seemingly contradictory observations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.