A Tale of Two Secondary Structure Elements: When a β-Hairpin becomes an α-Helix


In this work, we have analyzed the relative importance of secondary versus tertiary interactions in stabilizing and guiding protein folding. For this purpose, we have designed four different mutants to replace the α-helix of the Gβ1 domain by a sequence with strong β-hairpin propensity in isolation. In particular, we have chosen the sequence of the second β-hairpin of the Gβ1 domain, which populates the native conformation in aqueous solution to a significant extent. The resulting protein has roughly 30% of its sequence duplicated and maintains the 3D-structure of the wild-type protein, but with lower stability (up to −5 kcal/mol). The loss of intrinsic helix stability accounts for about 80% of the decrease in free energy, illustrating the importance of local interactions in protein stability. Interestingly enough, all the mutant proteins, included the one with the duplicated β-hairpin sequence, fold with similar rates as the Gβ1 domain. Essentially, it is the nature of the rate-limiting step in the folding reaction that determines whether a particular interaction will speed up, or not, the folding rates. While local contacts are important in determining protein stability, residues involved in tertiary contacts in combination with the topology of the native fold, seem to be responsible for the specificity of protein structures. Proteins with non-native secondary structure tendencies can adopt stable folds and be as efficient in folding as those proteins with native-like propensities.

Submission Details

ID: UbXMCotr3

Submitter: Marie Ary

Submission Date: July 31, 2017, 11:46 a.m.

Version: 1

Publication Details
Cregut D;Civera C;Macias MJ;Wallon G;Serrano L,J Mol Biol (1999) A tale of two secondary structure elements: when a beta-hairpin becomes an alpha-helix. PMID:10493883
Additional Information

Structure view and single mutant data analysis

Study data

No weblogo for data of varying length.
Colors: D E R H K S T N Q A V I L M F Y W C G P

Data Distribution

Studies with similar sequences (approximate matches)

Correlation with other assays (exact sequence matches)