The DOI matches its Crossref record.
Gaussian Dynamics of Folded Proteins
Abstract
Vibrational dynamics of folded proteins is studied using a Gaussian model in which the protein is viewed as a network, residues representing the junctions, and the connectivity being established by a single parameter harmonic potential. Application to seven proteins showed that the local packing density plays a major role in determining the vibrational spectrum at time scales of picoseconds. At later times, the secondary structure and tertiary context of each residue comes into play. The vibrational frequencies obey a universal distribution, confirming previous normal mode analyses.
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
Cited by
Dynamic personalities of proteins
Henzler-Wildman, K., & Kern, D. (2007) · Nature · doi:10.1038/nature06522 · Cited by 2,545
Global dynamics of proteins: bridging between structure and function
Bahar, I., Lezon, T. R., Yang, L.-W., & Eyal, E. (2010) · Annual Review of Biophysics · doi:10.1146/annurev.biophys.093008.131258 · Cited by 610
Self-citationYang, L.-W., & Bahar, I. (2005) · Structure · doi:10.1016/j.str.2005.03.015 · Cited by 273
Self-citationControlling Allosteric Networks in Proteins
Dokholyan, N. V. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00544 · Cited by 260
Protein elastic network models and the ranges of cooperativity
Yang, L., Song, G., & Jernigan, R. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902159106 · Cited by 260
Metadata
- Authors
- Haliloglu, T., Bahar, I., & Erman, B.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1997-10-20
- Volume
- 79
- Issue
- 16
- Pages
- 3090-3093
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2108700551
- Cited by
- 772
- References
- 0
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
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: Gaussian Dynamics of Folded Proteins. https://app.cochat.ai/papers/10.1103/physrevlett.79.3090
- The paper
- Haliloglu, T., Bahar, I., & Erman, B. (1997). Gaussian Dynamics of Folded Proteins. Physical Review Letters. https://doi.org/10.1103/physrevlett.79.3090
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.
