Analysis of the effect of local interactions on protein stability

Abstract

Protein stability appears to be governed by non-covalent interactions. These can be local (between residues close in sequence) or non-local (medium-range and long-range interactions). The specific role of local interactions is controversial. Statistical mechanics arguments point out that local interactions must be weak in stable folded proteins. However, site-directed mutagenesis has revealed that local interactions make a significant contribution to protein stability. Finally, computer simulations suggest that correctly folded proteins require a delicate balance between local and non-local contributions to protein stability. To analyze experimentally the effect of local interactions on protein stability, each of the five Che Y alpha-helices was enhanced in its helical propensity. alpha-Helix-promoting mutations have been designed, using a helix/coil transition algorithm tuned for heteropolypeptides, that do not alter the overall hydrophobicity or protein packing. The increase in helical propensity has been evaluated by far-UV CD analysis of the corresponding peptides. Thermodynamic analysis of the five Che Y mutants reveals, in all cases, an increase in half urea ([urea]1/2) and in Tm, and a decrease in the sensitivity to chemical denaturants (m). ANS binding assays indicate that the changes in m are not due to the stabilization of an intermediate, and the kinetic analysis of the mutants shows that their equilibrium unfolding transition can be considered as following a two-state model, while the change in m is found in the refolding reaction (m(k)f). These results are explained by a variable two-state model in which the changes in half urea and Tm arise from the stabilization of the native state and the decrease in m from the compaction of the denatured state. Therefore, the net change in protein stability in aqueous solution produced by increasing the contribution of native-like local interactions in Che Y is the balance between these two conflicting effects. Our results support the idea that optimization of protein stability and cooperativity involve a specific ratio of local versus non-local interactions.