The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Energy landscapes and solved protein–folding problems
Abstract
Energy–landscape theory has led to much progress in protein folding kinetics, protein structure prediction and protein design. Funnel landscapes describe protein folding and binding and explain how protein topology determines kinetics. Landscape–optimized energy functions based on bioinformatic input have been used to correctly predict low–resolution protein structures and also to design novel proteins automatically.
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
Protein folding and misfolding
Dobson, C. M. (2003) · Nature · doi:10.1038/nature02261 · Cited by 4,791
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
Self-citationTHEORY 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
Self-citationLuscombe, N. M. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.13.2860 · Cited by 981
Folding funnels and energy landscapes of larger proteins within the capillarity approximation
Wolynes, P. G. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.12.6170 · Cited by 218
Self-citation
Cited by
Deep learning for computational chemistry
Goh, G. B., Hodas, N. O., & Vishnu, A. (2017) · Journal of Computational Chemistry · doi:10.1002/jcc.24764 · Cited by 809
Davtyan, A., Schafer, N. P., Zheng, W., Clementi, C., Wolynes, P. G., & Papoian, G. A. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp212541y · Cited by 324
Self-citationFerreiro, D. U., Komives, E. A., & Wolynes, P. G. (2014) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583514000092 · Cited by 314
Self-citationProtein folding is slaved to solvent motions
Frauenfelder, H., Fenimore, P. W., Chen, G., & McMahon, B. H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607168103 · Cited by 286
Deng, N.-J., Dai, W., & Levy, R. M. (2013) · The Journal of Physical Chemistry B · doi:10.1021/jp401962k · Cited by 64
Metadata
- Authors
- Wolynes, P. G.
- Venue
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2004-12-15
- Volume
- 363
- Issue
- 1827
- Pages
- 453-467
- ISSN
- 1364-503X (ISSN-L)
- 1471-2962
- OpenAlex
- W2102400503
- Cited by
- 173
- References
- 5
- FWCI
- 3.50
- 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: Energy landscapes and solved protein–folding problems. https://app.cochat.ai/papers/10.1098/rsta.2004.1502
- The paper
- Wolynes, P. G. (2005). Energy landscapes and solved protein–folding problems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rsta.2004.1502
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.