The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Modeling electrostatic effects in proteins
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Citations
Cites
Kollman, P. A., Massova, I., Reyes, C., Kuhn, B., Huo, S., Chong, L., Lee, M., Lee, T., Duan, Y., Wang, W., et al. (2000) · Accounts of Chemical Research · doi:10.1021/ar000033j · Cited by 4,978
Classical Electrodynamics, 3rd ed .
Jackson, J. D., & Fox, R. F. (1999) · American Journal of Physics · doi:10.1119/1.19136 · Cited by 3,073
Guerois, R., Nielsen, J. E., & Serrano, L. (2002) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)00442-4 · Cited by 1,728
Climatic Impact of Tropical Lowland Deforestation on Nearby Montane Cloud Forests
Lawton, R. O., Nair, U. S., Pielke, R. A., & Welch, R. M. (2001) · Science · doi:10.1126/science.1062459 · Cited by 1,169
Structural basis of water-specific transport through the AQP1 water channel
Sui, H., Han, B.-G., Lee, J. K., Walian, P., & Jap, B. K. (2001) · Nature · doi:10.1038/414872a · Cited by 1,166
Toward an outline of the topography of a realistic protein-folding funnel.
Onuchic, J. N., Wolynes, P. G., Luthey-Schulten, Z., & Socci, N. D. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.8.3626 · Cited by 523
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
Cited by
Multiscale Studies on Ionic Liquids
Dong, K., Liu, X., Dong, H., Zhang, X., & Zhang, S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00776 · Cited by 773
Li, L., Li, C., Zhang, Z., & Alexov, E. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct400065j · Cited by 543
Kamerlin, S. C. L., Haranczyk, M., & Warshel, A. (2009) · The Journal of Physical Chemistry B · doi:10.1021/jp8071712 · Cited by 281
Self-citationMultiscale Modeling of Biological Functions: From Enzymes to Molecular Machines (Nobel Lecture)
Warshel, A. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201403689 · Cited by 245
“[2]), and continued with more quantitative free energy considerations and the introduction of well-defined microscopic based thermodynamic cycles, using the PDLD model that paved the way to evaluation of pKas [28], redox energies [47], ion transfer energies [48] and drug binding free energies [26, 29].”
BackgroundMethodSelf-citationRocklin, G. J., Mobley, D. L., Dill, K. A., & Hünenberger, P. H. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4826261 · Cited by 234
Metadata
- Authors
- Warshel, A., Sharma, P. K., Kato, M., & Parson, W. W.
- Venue
- Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 1764
- Issue
- 11
- Pages
- 1647-1676
- ISSN
- 1570-9639 (ISSN-L)
- OpenAlex
- W2102640727
- Cited by
- 525
- References
- 7
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Modeling electrostatic effects in proteins. https://app.cochat.ai/papers/10.1016/j.bbapap.2006.08.007
- The paper
- Warshel, A., Sharma, P. K., Kato, M., & Parson, W. W. (2006). Modeling electrostatic effects in proteins. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. https://doi.org/10.1016/j.bbapap.2006.08.007
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.
