The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Protein unfolding: Rigidity lost
Open accessAbstract
We relate the unfolding of a protein to its loss of structural stability or rigidity. Rigidity and flexibility are well defined concepts in mathematics and physics, with a body of theorems and algorithms that have been applied successfully to materials, allowing the constraints in a network to be related to its deformability. Here we simulate the weakening or dilution of the noncovalent bonds during protein unfolding, and identify the emergence of flexible regions as unfolding proceeds. The transition state is determined from the inflection point in the change in the number of independent bond-rotational degrees of freedom (floppy modes) of the protein as its mean atomic coordination decreases. The first derivative of the fraction of floppy modes as a function of mean coordination is similar to the fraction-folded curve for a protein as a function of denaturant concentration or temperature. The second derivative, a specific heat-like quantity, shows a peak around a mean coordination of 〈r〉 = 2.41 for the 26 diverse proteins we have studied. As the protein denatures, it loses rigidity at the transition state, proceeds to a state where just the initial folding core remains stable, then becomes entirely denatured or flexible. This universal behavior for proteins of diverse architecture, including monomers and oligomers, is analogous to the rigid to floppy phase transition in network glasses. This approach provides a unifying view of the phase transitions of proteins and glasses, and identifies the mean coordination as the relevant structural variable, or reaction coordinate, along the unfolding pathway.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Funnels, pathways, and the energy landscape of protein folding: A synthesis
Bryngelson, J. D., Onuchic, J. N., Socci, N. D., & Wolynes, P. G. (1995) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340210302 · Cited by 2,648
THEORY OF PROTEIN FOLDING: The Energy Landscape Perspective
Onuchic, J. N., Luthey-Schulten, Z., & Wolynes, P. G. (1997) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.48.1.545 · Cited by 2,210
Shea, J.-E., & Brooks III, C. L. (2001) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.52.1.499 · Cited by 481
Protein Folding Theory: From Lattice to All-Atom Models
Mirny, L., & Shakhnovich, E. (2001) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.30.1.361 · Cited by 341
Cited by
Global ribosome motions revealed with elastic network model
Wang, Y., Rader, A. J., Bahar, I., & Jernigan, R. L. (2004) · Journal of Structural Biology · doi:10.1016/j.jsb.2004.01.005 · Cited by 284
Self-citationRigidity versus flexibility: the dilemma of understanding protein thermal stability
Karshikoff, A., Nilsson, L., & Ladenstein, R. (2015) · The FEBS Journal · doi:10.1111/febs.13343 · Cited by 281
Senet, P., Guzzo, A., Delarue, P., Laforge, C., Maisuradze, G. G., Heydel, J.-M., Neiers, F., & Nicolaï, A. (2026) · Chemical Science · doi:10.1039/d5sc06411b · Cited by 3
Metadata
- Authors
- Rader, A. J., Hespenheide, B. M., Kuhn, L. A., & Thorpe, M. F.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-03-12
- Volume
- 99
- Issue
- 6
- Pages
- 3540-3545
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2137496915
- Cited by
- 278
- References
- 4
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Protein unfolding: Rigidity lost. https://app.cochat.ai/papers/10.1073/pnas.062492699
- The paper
- Rader, A. J., Hespenheide, B. M., Kuhn, L. A., & Thorpe, M. F. (2002). Protein unfolding: Rigidity lost. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.062492699
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.