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Cited by 1,720

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Denaturant m values and heat capacity changes: Relation to changes in accessible surface areas of protein unfolding

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Myers, Jeffrey K., Nick Pace, C., Martin Scholtz, J.·1995·Protein Science

Abstract

Denaturant m values, the dependence of the free energy of unfolding on denaturant concentration, have been collected for a large set of proteins. The m value correlates very strongly with the amount of protein surface exposed to solvent upon unfolding, with linear correlation coefficients of R = 0.84 for urea and R = 0.87 for guanidine hydrochloride. These correlations improve to R = 0.90 when the effect of disulfide bonds on the accessible area of the unfolded protein is included. A similar dependence on accessible surface area has been found previously for the heat capacity change (ΔCp), which is confirmed here for our set of proteins. Denaturant m values and heat capacity changes also correlate well with each other. For proteins that undergo a simple two‐state unfolding mechanism, the amount of surface exposed to solvent upon unfolding is a main structural determinant for both m values and Δ C p.

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Metadata

Authors
Myers, J. K., Nick Pace, C., & Martin Scholtz, J.
Venue
Protein Science
Publisher
Wiley
Published
1995-10
Volume
4
Issue
10
Pages
2138-2148
ISSN
  • 0961-8368 (ISSN-L)
  • 1469-896X
OpenAlex
W2117747873
Cited by
1,720
References
0
FWCI
8.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Denaturant m values and heat capacity changes: Relation to changes in accessible surface areas of protein unfolding. https://app.cochat.ai/papers/10.1002/pro.5560041020
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Myers, J. K., Nick Pace, C., & Martin Scholtz, J. (1995). Denaturant m values and heat capacity changes: Relation to changes in accessible surface areas of protein unfolding. Protein Science. https://doi.org/10.1002/pro.5560041020

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.