The DOI matches its Crossref record.
Force Fields for Protein Simulations
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
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535
Self-citationThe Protein-Folding Problem, 50 Years On
Dill, K. A., & MacCallum, J. L. (2012) · Science · doi:10.1126/science.1219021 · Cited by 1,699
Current Status of the AMOEBA Polarizable Force Field
Ponder, J. W., Wu, C., Ren, P., Pande, V. S., Chodera, J. D., Schnieders, M. J., Haque, I., Mobley, D. L., Lambrecht, D. S., DiStasio, R. A., et al. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp910674d · Cited by 1,440
Self-citationTo milliseconds and beyond: challenges in the simulation of protein folding
Lane, T. J., Shukla, D., Beauchamp, K. A., & Pande, V. S. (2013) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2012.11.002 · Cited by 409
Progress in Modeling of Protein Structures and Interactions.
Schueler-Furman, O., Wang, C., Bradley, P., Misura, K., & Baker, D. (2005) · Science · doi:10.1126/science.1112160 · Cited by 294
Muller, M. P., Jiang, T., Sun, C., Lihan, M., Pant, S., Mahinthichaichan, P., Trifan, A., & Tajkhorshid, E. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00608 · Cited by 282
TorchMD: A Deep Learning Framework for Molecular Simulations
Doerr, S., Majewski, M., Pérez, A., Krämer, A., Clementi, C., Noe, F., Giorgino, T., & De Fabritiis, G. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c01343 · Cited by 230
Quantum Computing for Molecular Biology**
Baiardi, A., Christandl, M., & Reiher, M. (2023) · ChemBioChem · doi:10.1002/cbic.202300120 · Cited by 93
Biomolecular simulation and modelling: status, progress and prospects
van der Kamp, M. W., Shaw, K. E., Woods, C. J., & Mulholland, A. J. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0105.focus · Cited by 90
Antibody H3 structure prediction
Marks, C., & Deane, C. M. (2017) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2017.01.010 · Cited by 56
Robust scoring functions for protein-ligand interactions with quantum chemical charge models.
Wang, J.-C., Lin, J.-H., Chen, C.-M., Perryman, A. L., & Olson, A. J. (2011) · Journal of Chemical Information and Modeling · doi:10.1021/ci200220v · Cited by 54
A Molecular Interpretation of 2D IR Protein Folding Experiments with Markov State Models
Baiz, C. R., Lin, Y.-S., Peng, C. S., Beauchamp, K. A., Voelz, V. A., Pande, V. S., & Tokmakoff, A. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2014.02.008 · Cited by 51
Rossetti, P., Trollmann, M. F. W., Wichmann, C., Gutsmann, T., Eggeling, C., & Böckmann, R. A. (2026) · Small · doi:10.1002/smll.202411476 · Cited by 25
Consensus in silico computational modelling of the p22phox subunit of the NADPH oxidase
Meijles, D. N., Howlin, B. J., & Li, J.-M. (2012) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2012.05.001 · Cited by 22
Vibrio cholerae’s ToxRS bile sensing system
Gubensäk, N., Sagmeister, T., Buhlheller, C., Geronimo, B. D., Wagner, G. E., Petrowitsch, L., Gräwert, M. A., Rotzinger, M., Berger, T. M. I., Schäfer, J., et al. (2023) · eLife · doi:10.7554/elife.88721 · Cited by 14
Thermodynamic Stability and Flexibility Characteristics of Antibody Fragment Complexes
Li, T., Verma, D., Tracka, M., Casas-Finet, J., Livesay, D., & Jacobs, D. (2013) · Protein & Peptide Letters · doi:10.2174/09298665113209990051 · Cited by 13
Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2
Zhu, C., Cao, S., Shang, T., Guo, J., Su, A., Li, C., & Duan, H. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf202 · Cited by 13
Song, J., Gao, F., Cui, R. Z., Shuang, F., Liang, W., Huang, X., & Zhuang, W. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp304714q · Cited by 10
Chattopadhyay, A., Fatehi, M., Mosa, F. E. S., Gruber, B., Light, P. E., & Barakat, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-30298-6 · Cited by 2
Metadata
- Authors
- Ponder, J. W., & Case, D. A.
- Venue
- Advances in Protein Chemistry
- Publisher
- Elsevier
- Published
- 2003
- Volume
- 66
- Pages
- 27-85
- ISSN
- 0065-3233 (ISSN-L)
- OpenAlex
- W2159010139
- Cited by
- 1,903
- References
- 0
- FWCI
- 53.76
- Type
- book chapter
- 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
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.