The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Parallel tempering algorithm for conformational studies of biological molecules
Open accessAbstract
Abstract The effectiveness of a new algorithm, parallel tempering, is studied for numerical simulations of biological molecules. These molecules suffer from a rough energy landscape. The resulting slowing down in numerical simulations is overcome by the new method. This is demonstrated by performing simulations with high statistics for one of the simplest peptides, Met-enkephalin. The numerical effectiveness of the new technique was found to be much better than traditional methods and is comparable to sophisticated methods like generalized ensemble techniques.
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
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Possible generalization of Boltzmann-Gibbs statistics
Tsallis, C. (1988) · Journal of Statistical Physics · doi:10.1007/bf01016429 · Cited by 9,589
Nonuniversal critical dynamics in Monte Carlo simulations
Swendsen, R. H., & Wang, J.-S. (1987) · Physical Review Letters · doi:10.1103/physrevlett.58.86 · Cited by 2,844
New Monte Carlo technique for studying phase transitions
Ferrenberg, A. M., & Swendsen, R. H. (1988) · Physical Review Letters · doi:10.1103/physrevlett.61.2635 · Cited by 2,673
Exchange Monte Carlo Method and Application to Spin Glass Simulations
Hukushima, K., & Nemoto, K. (1996) · Journal of the Physical Society of Japan · doi:10.1143/jpsj.65.1604 · Cited by 2,475
New approach to Monte Carlo calculation of the free energy: Method of expanded ensembles
Lyubartsev, A. P., Martsinovski, A. A., Shevkunov, S. V., & Vorontsov-Velyaminov, P. N. (1992) · The Journal of Chemical Physics · doi:10.1063/1.462133 · Cited by 1,025
Hansmann, U. H. E., & Okamoto, Y. (1993) · Journal of Computational Chemistry · doi:10.1002/jcc.540141110 · Cited by 390
Self-citationMonte carlo study of the interacting self-avoiding walk model in three dimensions
Tesi, M. C., Janse van Rensburg, E. J., Orlandini, E., & Whittington, S. G. (1996) · Journal of Statistical Physics · doi:10.1007/bf02189229 · Cited by 364
Molecular dynamics, Langevin and hydrid Monte Carlo simulations in a multicanonical ensemble
Hansmann, U. H. E., Okamoto, Y., & Eisenmenger, F. (1996) · Chemical Physics Letters · doi:10.1016/0009-2614(96)00761-0 · Cited by 290
Self-citationGeneralized-ensemble Monte Carlo method for systems with rough energy landscape
Hansmann, U. H. E., & Okamoto, Y. (1997) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.56.2228 · Cited by 114
Self-citation
Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Replica-exchange molecular dynamics method for protein folding
Sugita, Y., & Okamoto, Y. (1999) · Chemical Physics Letters · doi:10.1016/s0009-2614(99)01123-9 · Cited by 4,514
Automated exploration of the low-energy chemical space with fast quantum chemical methods
Pracht, P., Bohle, F., & Grimme, S. (2020) · Physical Chemistry Chemical Physics · doi:10.1039/c9cp06869d · Cited by 2,363
PLUMED: A portable plugin for free-energy calculations with molecular dynamics
Bonomi, M., Branduardi, D., Bussi, G., Camilloni, C., Provasi, D., Raiteri, P., Donadio, D., Marinelli, F., Pietrucci, F., Broglia, R. A., et al. (2009) · Computer Physics Communications · doi:10.1016/j.cpc.2009.05.011 · Cited by 1,875
Parallel tempering: Theory, applications, and new perspectives
Earl, D. J., & Deem, M. W. (2005) · Physical Chemistry Chemical Physics · doi:10.1039/b509983h · Cited by 1,313
Metadata
- Authors
- Hansmann, U. H. E.
- Venue
- Chemical Physics Letters
- Publisher
- Elsevier BV
- Published
- 1997-12
- Volume
- 281
- Issue
- 1-3
- Pages
- 140-150
- ISSN
- 0009-2614 (ISSN-L)
- OpenAlex
- W2100627460
- Cited by
- 1,008
- References
- 12
- FWCI
- 2.81
- 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: Parallel tempering algorithm for conformational studies of biological molecules. https://app.cochat.ai/papers/10.1016/s0009-2614(97)01198-6
- The paper
- Hansmann, U. H. E. (1997). Parallel tempering algorithm for conformational studies of biological molecules. Chemical Physics Letters. https://doi.org/10.1016/s0009-2614(97)01198-6
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.
