The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Coarse-grained models of protein folding: toy models or predictive tools?
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Citations
Cites
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
Force Fields for Protein Simulations
Ponder, J. W., & Case, D. A. (2003) · Advances in Protein Chemistry · doi:10.1016/s0065-3233(03)66002-x · Cited by 1,903
Spin glasses and the statistical mechanics of protein folding.
Bryngelson, J. D., & Wolynes, P. G. (1987) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.84.21.7524 · Cited by 1,634
Clementi, C., Nymeyer, H., & Onuchic, J. N. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.3693 · Cited by 1,240
Self-citationComputer simulation of protein folding
Levitt, M., & Warshel, A. (1975) · Nature · doi:10.1038/253694a0 · Cited by 1,045
A surprising simplicity to protein folding
Baker, D. (2000) · Nature · doi:10.1038/35011000 · Cited by 778
Intermediates and barrier crossing in a random energy model (with applications to protein folding)
Bryngelson, J. D., & Wolynes, P. G. (1989) · The Journal of Physical Chemistry · doi:10.1021/j100356a007 · Cited by 755
Taketomi, H., Ueda, Y., & Gō, N. (1975) · International Journal of Peptide and Protein Research · doi:10.1111/j.1399-3011.1975.tb02465.x · Cited by 674
Molecular Motors: A Theorist's Perspective
Kolomeisky, A. B., & Fisher, M. E. (2007) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.58.032806.104532 · Cited by 575
Cheung, M. S., García, A. E., & Onuchic, J. N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.022387699 · Cited by 507
Cited by
‘Improved parameters for the Martini coarse-grained protein force field’
de Jong, D. H., Singh, G., Bennett, W. F. D., Arnarez, C., Wassenaar, T. A., Schäfer, L. V., Periole, X., Tieleman, D. P., & Marrink, S. J. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct300646g · Cited by 1,486
Coarse-Grained Protein Models and Their Applications
Kmiecik, S., Gront, D., Kolinski, M., Wieteska, L., Dawid, A. E., & Kolinski, A. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00163 · Cited by 1,071
Machine Learning for Molecular Simulation
Noé, F., Tkatchenko, A., Müller, K.-R., & Clementi, C. (2020) · Annual Review of Physical Chemistry · doi:10.1146/annurev-physchem-042018-052331 · Cited by 956
Self-citationPerspective: Coarse-grained models for biomolecular systems
Noid, W. G. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4818908 · Cited by 893
Ferreiro, D. U., Komives, E. A., & Wolynes, P. G. (2014) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583514000092 · Cited by 314
Metadata
- Authors
- Clementi, C.
- Venue
- Current Opinion in Structural Biology
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 18
- Issue
- 1
- Pages
- 10-15
- ISSN
- 0959-440X (ISSN-L)
- OpenAlex
- W2036239645
- Cited by
- 340
- References
- 60
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- The paper
- Clementi, C. (2008). Coarse-grained models of protein folding: toy models or predictive tools? Current Opinion in Structural Biology. https://doi.org/10.1016/j.sbi.2007.10.005
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.