The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Portrait of Sara Snogerup Linse

Sara Linse

Professor

Portrait of Sara Snogerup Linse

pK(a) Values for the Unfolded State under Native Conditions Explain the pH-Dependent Stability of PGB1.

Author

  • Stina Lindman
  • Mikael Bauer
  • Mikael Lund
  • Carl Diehl
  • Frans Mulder
  • Mikael Akke
  • Sara Linse

Summary, in English

Understanding the role of electrostatics in protein stability requires knowledge of these interactions in both the folded and unfolded states. Electrostatic interactions can be probed experimentally by characterizing ionization equilibria of titrating groups, parameterized as pK(a) values. However, pK(a) values of the unfolded state are rarely accessible under native conditions, where the unfolded state has a very low population. Here, we report pK(a) values under nondenaturing conditions for two unfolded fragments of the protein G B1 domain that mimic the unfolded state of the intact protein. pK(a) values were determined for carboxyl groups by monitoring their pH-dependent (13)C chemical shifts. Monte Carlo simulations using a Gaussian chain model provide corrections for changes in electrostatic interactions that arise from fragmentation of the protein. Most pK(a) values for the unfolded state agree well with model values, but some residues show significant perturbations that can be rationalized by local electrostatic interactions. The pH-dependent stability was calculated from the experimental pK(a) values of the folded and unfolded states and compared to experimental stability data. The use of experimental pK(a) values for the unfolded state results in significantly improved agreement with experimental data, as compared to calculations based on model data alone.

Department/s

  • Biophysical Chemistry
  • Biochemistry and Structural Biology
  • Theoretical Chemistry
  • MultiPark: Multidisciplinary research focused on Parkinson´s disease
  • eSSENCE: The e-Science Collaboration

Publishing year

2010

Language

English

Pages

3365-3373

Publication/Series

Biophysical Journal

Volume

99

Issue

10

Document type

Journal article

Publisher

Cell Press

Topic

  • Biophysics

Status

Published

ISBN/ISSN/Other

  • ISSN: 1542-0086